default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDKalyanmoy Deb
Person information
- affiliation: Michigan State University, East Lansing, MI, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[b3]Dhish Kumar Saxena, Sukrit Mittal
, Kalyanmoy Deb, Erik D. Goodman:
Machine Learning Assisted Evolutionary Multi- and Many-Objective Optimization. Springer 2024, ISBN 978-981-99-2095-2, pp. 1-239- [j186]Kalyanmoy Deb, A. Pouyan Nejadhashemi, Gregorio Toscano, Hoda Razavi, Lewis C. Linker:
Leveraging innovization and transfer learning to optimize best management practices in large-scale watershed management. Environ. Model. Softw. 180: 106161 (2024) - [j185]Pushpendra Gupta, Dilip Kumar Pratihar, Kalyanmoy Deb:
Analysis and Optimization of Gait Cycle of 25-DOF NAO Robot Using Particle Swarm Optimization and Genetic Algorithms. Int. J. Humanoid Robotics 21(2): 2350011:1-2350011:44 (2024) - [j184]Roy de Winter, Bas Milatz, Julian Blank, Niki van Stein, Thomas Bäck, Kalyanmoy Deb:
Parallel multi-objective optimization for expensive and inexpensive objectives and constraints. Swarm Evol. Comput. 86: 101508 (2024) - [j183]Yashesh D. Dhebar, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, Dimitar P. Filev:
Toward Interpretable-AI Policies Using Evolutionary Nonlinear Decision Trees for Discrete-Action Systems. IEEE Trans. Cybern. 54(1): 50-62 (2024) - [j182]Abhiroop Ghosh, Kalyanmoy Deb, Erik D. Goodman, Ronald C. Averill:
An Interactive Knowledge-Based Multiobjective Evolutionary Algorithm Framework for Practical Optimization Problems. IEEE Trans. Evol. Comput. 28(1): 223-237 (2024) - [j181]Kalyanmoy Deb, Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth Fialho Wanner:
Identifying Pareto Fronts Reliably Using a Multistage Reference-Vector-Based Framework. IEEE Trans. Evol. Comput. 28(1): 252-266 (2024) - [j180]Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb:
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. IEEE Trans. Evol. Comput. 28(2): 323-337 (2024) - [j179]Ian Kropp, A. Pouyan Nejadhashemi, Kalyanmoy Deb:
Improved Evolutionary Operators for Sparse Large-Scale Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 28(2): 460-473 (2024) - [j178]Anirudh Suresh, Kalyanmoy Deb:
Machine Learning-Based Prediction of New Pareto-Optimal Solutions From Pseudo-Weights. IEEE Trans. Evol. Comput. 28(5): 1351-1365 (2024) - [j177]Gregorio Toscano Pulido, Hoda Razavi, A. Pouyan Nejadhashemi, Kalyanmoy Deb, Lewis C. Linker:
Large-Scale Multiobjective Optimization for Watershed Planning and Assessment. IEEE Trans. Syst. Man Cybern. Syst. 54(6): 3471-3483 (2024) - [c344]Ritam Guha, Kalyanmoy Deb:
Scalable Polynomial RegEM(a)O for Multi-lMany-objective Platform-based Design Optimization Problems. CEC 2024: 1-8 - [c343]Balija Santoshkumar, Kalyanmoy Deb:
Surrogate-Assisted Multi-Objective Optimization for Handling Objectives with Heterogeneous Evaluation Times: Unconstrained Problems. CEC 2024: 1-8 - [c342]Anirudh Suresh, Kalyanmoy Deb:
On a Better Understanding of Unique Identifiers of Pareto Solutions for Multi-criterion Optimization, Visualization, and Decision-making. CEC 2024: 1-8 - [c341]Ahmer Khan, Kalyanmoy Deb:
Innovation Path: Discovering an Ordered Set of Optimized Intermediate Solutions from an Existing to a Desired Solution. GECCO 2024 - [c340]Roy de Winter, Bas Milatz, Julian Blank, Niki van Stein, Thomas Bäck, Kalyanmoy Deb:
Hot off the Press: Parallel Multi-Objective Optimization for Expensive and Inexpensive Objectives and Constraints. GECCO Companion 2024: 31-32 - [c339]Kalyanmoy Deb, Ankur Sinha:
Evolutionary Bilevel Optimization: Algorithms and Applications. GECCO Companion 2024: 1284-1312 - [c338]Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb:
An Updated Performance Metric for Preference-Based Evolutionary Multi-Objective Optimization Algorithms. GECCO 2024 - [c337]Ritam Guha, Ryan Mckendrick, Bradley Feest, Kalyanmoy Deb:
Attacker-Defender Strategy Optimization Using Multi-objective Competitive Co-Evolution. PPSN (4) 2024: 351-366 - 2023
- [j176]Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb:
Interpretable self-organizing map assisted interactive multi-criteria decision-making following Pareto-Race. Appl. Soft Comput. 149(Part B): 111032 (2023) - [j175]Deepanshu Yadav, Deepak Nagar, Palaniappan Ramu, Kalyanmoy Deb:
Visualization-aided multi-criteria decision-making using interpretable self-organizing maps. Eur. J. Oper. Res. 309(3): 1183-1200 (2023) - [j174]Leonardo Lai, Lorenzo Fiaschi, Marco Cococcioni, Kalyanmoy Deb:
Pure and mixed lexicographic-paretian many-objective optimization: state of the art. Nat. Comput. 22(2): 227-242 (2023) - [j173]Shuwei Zhu, Lihong Xu, Erik D. Goodman, Kalyanmoy Deb, Zhichao Lu:
A general framework for enhancing relaxed Pareto dominance methods in evolutionary many-objective optimization. Nat. Comput. 22(2): 287-313 (2023) - [j172]Deepak Nagar, Palaniappan Ramu, Kalyanmoy Deb:
Visualization and analysis of Pareto-optimal fronts using interpretable self-organizing map (iSOM). Swarm Evol. Comput. 76: 101202 (2023) - [j171]Kalyanmoy Deb, Zhichao Lu, Ian Kropp, Juan Sebastian Hernandez-Suarez, Rayan Hussein, Steven Miller, A. Pouyan Nejadhashemi:
Minimizing Expected Deviation in Upper Level Outcomes Due to Lower Level Decision Making in Hierarchical Multiobjective Problems. IEEE Trans. Evol. Comput. 27(3): 505-519 (2023) - [j170]Dhish Kumar Saxena, Sukrit Mittal, Sarang Kapoor, Kalyanmoy Deb:
A Localized High-Fidelity-Dominance-Based Many-Objective Evolutionary Algorithm. IEEE Trans. Evol. Comput. 27(4): 923-937 (2023) - [c336]Gregorio Toscano, Hoda Razavi, A. Pouyan Nejadhashemi, Kalyanmoy Deb, Lewis C. Linker:
Utilizing Innovization to Solve Large-Scale Multi-Objective Chesapeake Bay Watershed Problem. CEC 2023: 1-8 - [c335]Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb:
Finding Robust Solutions for Many-Objective Optimization Using NSGA-III. CEC 2023: 1-8 - [c334]Shihua Huang, Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Revisiting Residual Networks for Adversarial Robustness. CVPR 2023: 8202-8211 - [c333]Ritam Guha, Kalyanmoy Deb:
RegEMO: Sacrificing Pareto-Optimality for Regularity in Multi-objective Problem-Solving. EMO 2023: 29-42 - [c332]Balija Santoshkumar, Kalyanmoy Deb, Lei Chen:
Eliminating Non-dominated Sorting from NSGA-III. EMO 2023: 71-85 - [c331]Drishti Bhasin, Sajag Swami, Sarthak Sharma, Saumya Sah, Dhish Kumar Saxena, Kalyanmoy Deb:
Investigating Innovized Progress Operators with Different Machine Learning Methods. EMO 2023: 134-146 - [c330]Kalyanmoy Deb, Aryan Gondkar, Anirudh Suresh:
Learning to Predict Pareto-Optimal Solutions from Pseudo-weights. EMO 2023: 191-204 - [c329]Abhiroop Ghosh, Kalyanmoy Deb, Ronald C. Averill, Erik D. Goodman:
IK-EMOViz: An Interactive Knowledge-Based Evolutionary Multi-objective Optimization Framework. EMO 2023: 606-619 - [c328]Ahmer Khan, Kalyanmoy Deb:
Optimizing Keyboard Configuration Using Single and Multi-Objective Evolutionary Algorithms. GECCO Companion 2023: 219-222 - [c327]Ritam Guha, Wei Ao, Stephen Kelly, Vishnu Boddeti, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb:
MOAZ: A Multi-Objective AutoML-Zero Framework. GECCO 2023: 485-492 - [c326]Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb:
Multi-objective Robust Optimization and Decision-Making Using Evolutionary Algorithms. GECCO 2023: 786-794 - [c325]Stephen Kelly, Daniel S. Park, Xingyou Song, Mitchell McIntire, Pranav Nashikkar, Ritam Guha, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti, Jie Tan, Esteban Real:
Discovering Adaptable Symbolic Algorithms from Scratch. IROS 2023: 3889-3896 - [c324]Anirudh Suresh, Kalyanmoy Deb:
On the Choice of Unique Identifiers for Predicting Pareto-Optimal Solutions Using Machine Learning. SSCI 2023: 1479-1484 - [p20]Kalyanmoy Deb, Peter J. Fleming, Yaochu Jin, Kaisa Miettinen, Patrick M. Reed:
Key Issues in Real-World Applications of Many-Objective Optimisation and Decision Analysis. Many-Criteria Optimization and Decision Analysis 2023: 29-57 - [i46]Stephen Kelly, Daniel S. Park, Xingyou Song, Mitchell McIntire, Pranav Nashikkar, Ritam Guha, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti, Jie Tan, Esteban Real:
Discovering Adaptable Symbolic Algorithms from Scratch. CoRR abs/2307.16890 (2023) - [i45]Amir H. Gandomi, Danial Yazdani, Mohammad Nabi Omidvar, Kalyanmoy Deb:
GNBG-Generated Test Suite for Box-Constrained Numerical Global Optimization. CoRR abs/2312.07034 (2023) - [i44]Danial Yazdani, Mohammad Nabi Omidvar, Delaram Yazdani, Kalyanmoy Deb, Amir H. Gandomi:
GNBG: A Generalized and Configurable Benchmark Generator for Continuous Numerical Optimization. CoRR abs/2312.07083 (2023) - 2022
- [j169]Kyle Robert Harrison, Azam Asilian Bidgoli, Shahryar Rahnamayan, Kalyanmoy Deb:
Image-based benchmarking and visualization for large-scale global optimization. Appl. Intell. 52(4): 4161-4191 (2022) - [j168]Alaleh Maskooki, Kalyanmoy Deb, Markku Kallio:
A customized genetic algorithm for bi-objective routing in a dynamic network. Eur. J. Oper. Res. 297(2): 615-629 (2022) - [j167]Md. Jakirul Islam, Xiaodong Li, Kalyanmoy Deb:
A speciation-based bilevel niching method for multimodal truss design problems. J. Comb. Optim. 44(1): 172-206 (2022) - [j166]Julian Blank, Kalyanmoy Deb:
Handling constrained multi-objective optimization problems with heterogeneous evaluation times: proof-of-principle results. Memetic Comput. 14(2): 135-150 (2022) - [j165]Poonam Kesarwani, Pradyumn Kumar Shukla, Joydeep Dutta, Kalyanmoy Deb:
Approximations for Pareto and Proper Pareto solutions and their KKT conditions. Math. Methods Oper. Res. 96(1): 123-148 (2022) - [j164]Ian Kropp, A. Pouyan Nejadhashemi, Kalyanmoy Deb:
Benefits of sparse population sampling in multi-objective evolutionary computing for large-Scale sparse optimization problems. Swarm Evol. Comput. 69: 101025 (2022) - [j163]Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth Fialho Wanner, Kalyanmoy Deb:
Analyzing Dominance Move (MIP-DoM) Indicator for Multiobjective and Many-Objective Optimization. IEEE Trans. Evol. Comput. 26(3): 476-489 (2022) - [j162]Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman:
Enhanced Innovized Progress Operator for Evolutionary Multi- and Many-Objective Optimization. IEEE Trans. Evol. Comput. 26(5): 961-975 (2022) - [j161]Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman:
A Learning-based Innovized Progress Operator for Faster Convergence in Evolutionary Multi-objective Optimization. ACM Trans. Evol. Learn. Optim. 2(1): 1:1-1:29 (2022) - [c323]Julian Blank, Kalyanmoy Deb:
Parameter Tuning and Control: A Case Study on Differential Evolution With Polynomial Mutation. CEC 2022: 1-8 - [c322]Gregorio Toscano, Juan Sebastian Hernandez-Suarez, Julian Blank, A. Pouyan Nejadhashemi, Kalyanmoy Deb, Lewis C. Linker:
Large-scale Multi-objective Optimization for Water Quality in Chesapeake Bay Watershed. CEC 2022: 1-9 - [c321]Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth F. Wanner, Kalyanmoy Deb:
A computationally fast but approximate MIP-DoM calculation for multi-objective optimization. GECCO Companion 2022: 340-343 - [c320]Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb:
Visualization-aided Multi-criterion Decision-making Using Reference Direction Based Pareto Race. SSCI 2022: 125-132 - [i43]Julian Blank, Kalyanmoy Deb:
GPSAF: A Generalized Probabilistic Surrogate-Assisted Framework for Constrained Single- and Multi-objective Optimization. CoRR abs/2204.04054 (2022) - [i42]Julian Blank, Kalyanmoy Deb:
pysamoo: Surrogate-Assisted Multi-Objective Optimization in Python. CoRR abs/2204.05855 (2022) - [i41]Amir H. Gandomi, Kalyanmoy Deb, Ronald C. Averill, Shahryar Rahnamayan, Mohammad Nabi Omidvar:
Variable Functioning and Its Application to Large Scale Steel Frame Design Optimization. CoRR abs/2205.07274 (2022) - [i40]Bhuvan Khoshoo, Julian Blank, Thang Q. Pham, Kalyanmoy Deb, Shanelle N. Foster:
Optimal Design of Electric Machine with Efficient Handling of Constraints and Surrogate Assistance. CoRR abs/2206.01695 (2022) - [i39]Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb:
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. CoRR abs/2208.04321 (2022) - [i38]Abhiroop Ghosh, Kalyanmoy Deb, Erik D. Goodman, Ronald C. Averill:
An Interactive Knowledge-based Multi-objective Evolutionary Algorithm Framework for Practical Optimization Problems. CoRR abs/2209.08604 (2022) - [i37]Devesh Shah, Anirudh Suresh, Alemayehu Admasu, Devesh Upadhyay, Kalyanmoy Deb:
A Survey on Evaluation Metrics for Synthetic Material Micro-Structure Images from Generative Models. CoRR abs/2211.09727 (2022) - [i36]Shihua Huang, Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective. CoRR abs/2212.11005 (2022) - 2021
- [j160]Lei Chen, Kalyanmoy Deb, Hai-Lin Liu, Qingfu Zhang:
Effect of Objective Normalization and Penalty Parameter on Penalty Boundary Intersection Decomposition-Based Evolutionary Many-Objective Optimization Algorithms. Evol. Comput. 29(1): 157-186 (2021) - [j159]Juan Sebastian Hernandez-Suarez, A. Pouyan Nejadhashemi, Kalyanmoy Deb:
A novel multi-objective model calibration method for ecohydrological applications. Environ. Model. Softw. 144: 105161 (2021) - [j158]Jake Weiner, Andreas T. Ernst, Xiaodong Li, Yuan Sun, Kalyanmoy Deb:
Solving the maximum edge disjoint path problem using a modified Lagrangian particle swarm optimisation hybrid. Eur. J. Oper. Res. 293(3): 847-862 (2021) - [j157]Renan Santos Mendes, Victoria Lush, Elizabeth F. Wanner, Flávio V. C. Martins, João F. M. Sarubbi, Kalyanmoy Deb:
Online clustering reduction based on parametric and non-parametric correlation for a many-objective vehicle routing problem with demand responsive transport. Expert Syst. Appl. 170: 114467 (2021) - [j156]Jonatas B. C. Chagas, Julian Blank, Markus Wagner, Marcone J. F. Souza, Kalyanmoy Deb:
A non-dominated sorting based customized random-key genetic algorithm for the bi-objective traveling thief problem. J. Heuristics 27(3): 267-301 (2021) - [j155]Mohamed Abouhawwash, Kalyanmoy Deb:
Reference point based evolutionary multi-objective optimization algorithms with convergence properties using KKTPM and ASF metrics. J. Heuristics 27(4): 575-614 (2021) - [j154]A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb:
An improved visual analytics framework for high-dimensional pareto-optimal front: a case for multi-objective portfolio optimization. J. Bank. Financial Technol. 5(2): 105-115 (2021) - [j153]Zhichao Lu, Gautam Sreekumar, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Neural Architecture Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 2971-2989 (2021) - [j152]Tanveerulhuq Shaik, Vadlamani Ravi, Kalyanmoy Deb:
Evolutionary Multi-Objective Optimization Algorithm for Community Detection in Complex Social Networks. SN Comput. Sci. 2(1): 1 (2021) - [j151]Lourdes Uribe, Adriana Lara, Kalyanmoy Deb, Oliver Schütze:
A new gradient free local search mechanism for constrained multi-objective optimization problems. Swarm Evol. Comput. 67: 100938 (2021) - [j150]Yashesh D. Dhebar, Kalyanmoy Deb:
Interpretable Rule Discovery Through Bilevel Optimization of Split-Rules of Nonlinear Decision Trees for Classification Problems. IEEE Trans. Cybern. 51(11): 5573-5584 (2021) - [j149]Julian Blank, Kalyanmoy Deb, Yashesh D. Dhebar, Sunith Bandaru, Haitham Seada:
Generating Well-Spaced Points on a Unit Simplex for Evolutionary Many-Objective Optimization. IEEE Trans. Evol. Comput. 25(1): 48-60 (2021) - [j148]Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification. IEEE Trans. Evol. Comput. 25(2): 277-291 (2021) - [j147]Leonardo Lai, Lorenzo Fiaschi, Marco Cococcioni, Kalyanmoy Deb:
Solving Mixed Pareto-Lexicographic Multiobjective Optimization Problems: The Case of Priority Levels. IEEE Trans. Evol. Comput. 25(5): 971-985 (2021) - [c319]Renan Santos Mendes, Elizabeth F. Wanner, Flávio V. C. Martins, Kalyanmoy Deb:
Aggregation or Selection? Clustering Many Objectives for Vehicle Routing Problem with Demand Responsive Transport. CEC 2021: 1257-1264 - [c318]Shreya Sharma, Julian Blank, Kalyanmoy Deb, Bijaya Ketan Panigrahi:
Ensembled Crossover based Evolutionary Algorithm for Single and Multi-objective Optimization. CEC 2021: 1439-1446 - [c317]Anirudh Suresh, Jaturong Kongmanee, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Multi-objective Coevolution and Decision-making for Cooperative and Competitive Environments. CEC 2021: 1601-1608 - [c316]Kalyanmoy Deb, Sukrit Mittal, Dhish Kumar Saxena, Erik D. Goodman:
Embedding a Repair Operator in Evolutionary Single and Multi-objective Algorithms - An Exploitation-Exploration Perspective. EMO 2021: 89-101 - [c315]Abhiroop Ghosh, Kalyanmoy Deb, Ronald C. Averill, Erik D. Goodman:
Combining User Knowledge and Online Innovization for Faster Solution to Multi-objective Design Optimization Problems. EMO 2021: 102-114 - [c314]Anirudh Suresh, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Towards Multi-objective Co-evolutionary Problem Solving. EMO 2021: 139-151 - [c313]Julian Blank, Kalyanmoy Deb:
Constrained Bi-objective Surrogate-Assisted Optimization of Problems with Heterogeneous Evaluation Times: Expensive Objectives and Inexpensive Constraints. EMO 2021: 257-269 - [c312]Shuwei Zhu, Lihong Xu, Erik D. Goodman, Kalyanmoy Deb, Zhichao Lu:
The (M-1)+1 Framework of Relaxed Pareto Dominance for Evolutionary Many-Objective Optimization. EMO 2021: 349-361 - [c311]Leonardo Lai, Lorenzo Fiaschi, Marco Cococcioni, Kalyanmoy Deb:
Handling Priority Levels in Mixed Pareto-Lexicographic Many-Objective Optimization Problems. EMO 2021: 362-374 - [c310]Deepak Nagar, Palaniappan Ramu, Kalyanmoy Deb:
Interpretable Self-Organizing Maps (iSOM) for Visualization of Pareto Front in Multiple Objective Optimization. EMO 2021: 645-655 - [c309]Claudio Lucio do Val Lopes, Flávio V. C. Martins, Elizabeth F. Wanner, Kalyanmoy Deb:
An approximate MIP-DoM calculation for multi-objective optimization using affinity propagation clustering algorithm. GECCO Companion 2021: 185-186 - [c308]Julian Blank, Kalyanmoy Deb:
PSAF: a probabilistic surrogate-assisted framework for single-objective optimization. GECCO 2021: 652-659 - [c307]Kalyanmoy Deb, Julian Blank:
Evolutionary multi- and many-objective optimization: methodologies, applications and demonstration. GECCO Companion 2021: 740-769 - [c306]Kalyanmoy Deb, A. K. M. Khaled Ahsan Talukder:
Visualization-based Multi-Criterion Decision Making with NIMBUS Method Using Palette Viz. SSCI 2021: 1-8 - [c305]Abhiroop Ghosh, Yashesh D. Dhebar, Ritam Guha, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, H. Eric Tseng, Dimitar P. Filev:
Interpretable AI Agent Through Nonlinear Decision Trees for Lane Change Problem. SSCI 2021: 1-8 - [c304]Bhuvan Khoshoo, Julian Blank, Thang Pham, Kalyanmoy Deb, Shanelle Foster:
Optimized Electric Machine Design Solutions with Efficient Handling of Constraints. SSCI 2021: 1-8 - [p19]Ali Ahrari, Kalyanmoy Deb:
Multimodal Optimization by Evolution Strategies with Repelling Subpopulations. Metaheuristics for Finding Multiple Solutions 2021: 145-163 - 2020
- [j146]Julian Blank, Kalyanmoy Deb:
Pymoo: Multi-Objective Optimization in Python. IEEE Access 8: 89497-89509 (2020) - [j145]Mohamed Abdel-Basset, Doaa El-Shahat, Kalyanmoy Deb, Mohamed Abouhawwash:
Energy-aware whale optimization algorithm for real-time task scheduling in multiprocessor systems. Appl. Soft Comput. 93: 106349 (2020) - [j144]A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb:
PaletteViz: A Visualization Method for Functional Understanding of High-Dimensional Pareto-Optimal Data-Sets to Aid Multi-Criteria Decision Making. IEEE Comput. Intell. Mag. 15(2): 36-48 (2020) - [j143]Mohamed Abouhawwash, Mohamed A. Jameel, Kalyanmoy Deb:
A smooth proximity measure for optimality in multi-objective optimization using Benson's method. Comput. Oper. Res. 117: 104900 (2020) - [j142]Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman:
Difficulty Adjustable and Scalable Constrained Multiobjective Test Problem Toolkit. Evol. Comput. 28(3): 339-378 (2020) - [j141]Ankur Sinha, Zhichao Lu, Kalyanmoy Deb, Pekka Malo:
Bilevel optimization based on iterative approximation of multiple mappings. J. Heuristics 26(2): 151-185 (2020) - [j140]Behrooz Ghasemishabankareh, Melih Ozlen, Xiaodong Li, Kalyanmoy Deb:
A genetic algorithm with local search for solving single-source single-sink nonlinear non-convex minimum cost flow problems. Soft Comput. 24(2): 1153-1169 (2020) - [j139]Matt Ryerkerk, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman:
A novel selection mechanism for evolutionary algorithms with metameric variable-length representations. Soft Comput. 24(21): 16439-16452 (2020) - [j138]Hemant Kumar Singh, Kalyanmoy Deb:
Investigating the equivalence between PBI and AASF scalarization for multi-objective optimization. Swarm Evol. Comput. 53: 100630 (2020) - [j137]Ke Li, Minhui Liao, Kalyanmoy Deb, Geyong Min, Xin Yao:
Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multiobjective Optimization Using Reference Points. IEEE Trans. Evol. Comput. 24(6): 1078-1096 (2020) - [c303]Julian Blank, Kalyanmoy Deb:
A Running Performance Metric and Termination Criterion for Evaluating Evolutionary Multi- and Many-objective Optimization Algorithms. CEC 2020: 1-8 - [c302]Abhiroop Ghosh, Erik D. Goodman, Kalyanmoy Deb, Ronald C. Averill, Alejandro Diaz:
A Large-scale Bi-objective Optimization of Solid Rocket Motors Using Innovization. CEC 2020: 1-8 - [c301]Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb:
A Unified Automated Innovization Framework Using Threshold-based Clustering. CEC 2020: 1-8 - [c300]Henrik Smedberg, Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb:
Trend Mining 2.0: Automating the Discovery of Variable Trends in the Objective Space. CEC 2020: 1-8 - [c299]Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti:
MUXConv: Information Multiplexing in Convolutional Neural Networks. CVPR 2020: 12041-12050 - [c298]Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
NSGANetV2: Evolutionary Multi-objective Surrogate-Assisted Neural Architecture Search. ECCV (1) 2020: 35-51 - [c297]Kanish Garg, Anish Mukherjee, Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb:
A generic and computationally efficient automated innovization method for power-law design rules. GECCO Companion 2020: 161-162 - [c296]Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb:
Learning-based multi-objective optimization through ANN-assisted online Innovization. GECCO Companion 2020: 171-172 - [c295]A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb:
PaletteStarViz: a visualization method for multi-criteria decision making from high-dimensional pareto-optimal front. GECCO Companion 2020: 175-176 - [c294]Lourdes Uribe, Adriana Lara, Kalyanmoy Deb, Oliver Schütze:
Using gradient-free local search within MOEAs for the treatment of constrained MOPs. GECCO Companion 2020: 177-178 - [c293]Sorrachai Yingchareonthawornchai, Proteek Chandan Roy, Bundit Laekhanukit, Eric Torng, Kalyanmoy Deb:
Worst-case conditional hardness and fast algorithms with random inputs for non-dominated sorting. GECCO Companion 2020: 185-186 - [c292]Yash Vesikar, Julian Blank, Kalyanmoy Deb, Markku Kallio, Alaleh Maskooki:
Dynamic vessel-to-vessel routing using level-wise evolutionary optimization. GECCO Companion 2020: 295-296 - [c291]Kalyanmoy Deb:
Evolutionary multi-objective optimization: past, present and future. GECCO Companion 2020: 343-372 - [c290]Pablo Valledor Pellicer, Miguel Iglesias Escudero, Silvino Fernández Alzueta, Kalyanmoy Deb:
Gap finding and validation in evolutionary multi- and many-objective optimization. GECCO 2020: 578-586 - [c289]Philipp Back, Antti Suominen, Pekka Malo, Olli Tahvonen, Julian Blank, Kalyanmoy Deb:
Towards sustainable forest management strategies with MOEAs. GECCO 2020: 1046-1054 - [c288]Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract). IJCAI 2020: 4750-4754 - [c287]Kalyanmoy Deb:
Rise of Evolutionary Multi-Objective Optimization: Algorithms and Applications. IJCCI 2020: 9 - [c286]A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb:
PaletteViz with Star-coordinates: An Improved Method for High-dimensional Pareto-optimal Front Visualization and Decision-making. SSCI 2020: 2186-2193 - [c285]Yashesh D. Dhebar, Sparsh Gupta, Kalyanmoy Deb:
Evaluating Nonlinear Decision Trees for Binary Classification Tasks with Other Existing Methods. SSCI 2020: 2806-2813 - [d1]Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth F. Wanner, Kalyanmoy Deb:
Many and Multi-objective datasets used in MIP-DoM. IEEE DataPort, 2020
- [i35]Tao Chen, Miqing Li, Ke Li, Kalyanmoy Deb:
Search-Based Software Engineering for Self-Adaptive Systems: One Survey, Five Disappointments and Six Opportunities. CoRR abs/2001.08236 (2020) - [i34]Jonatas B. C. Chagas, Julian Blank, Markus Wagner, Marcone J. F. Souza, Kalyanmoy Deb:
A Non-Dominated Sorting Based Customized Random-Key Genetic Algorithm for the Bi-Objective Traveling Thief Problem. CoRR abs/2002.04303 (2020) - [i33]Julian Blank, Kalyanmoy Deb:
pymoo: Multi-objective Optimization in Python. CoRR abs/2002.04504 (2020) - [i32]Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti:
MUXConv: Information Multiplexing in Convolutional Neural Networks. CoRR abs/2003.13880 (2020) - [i31]Shaik Tanveer Ul Huq, Vadlamani Ravi, Kalyanmoy Deb:
Evolutionary Multi Objective Optimization Algorithm for Community Detection in Complex Social Networks. CoRR abs/2005.03181 (2020) - [i30]Zhichao Lu, Gautam Sreekumar, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Neural Architecture Transfer. CoRR abs/2005.05859 (2020) - [i29]Mohamed Wiem Mkaouer, Marouane Kessentini, Adnan Shaout, Patrice Koligheu, Slim Bechikh, Kalyanmoy Deb, Ali Ouni:
Many-Objective Software Remodularization using NSGA-III. CoRR abs/2005.06510 (2020) - [i28]Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search. CoRR abs/2007.10396 (2020) - [i27]Kyle Robert Harrison, Azam Asilian Bidgoli, Shahryar Rahnamayan, Kalyanmoy Deb:
Image-Based Benchmarking and Visualization for Large-Scale Global Optimization. CoRR abs/2007.12332 (2020) - [i26]Yashesh D. Dhebar, Kalyanmoy Deb:
Interpretable Rule Discovery Through Bilevel Optimization of Split-Rules of Nonlinear Decision Trees for Classification Problems. CoRR abs/2008.00410 (2020) - [i25]Yashesh D. Dhebar, Sparsh Gupta, Kalyanmoy Deb:
Evaluating Nonlinear Decision Trees for Binary Classification Tasks with Other Existing Methods. CoRR abs/2008.10753 (2020) - [i24]Yashesh D. Dhebar, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, Dimitar P. Filev:
Interpretable-AI Policies using Evolutionary Nonlinear Decision Trees for Discrete Action Systems. CoRR abs/2009.09521 (2020) - [i23]Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman:
Enhanced Innovized Repair Operator for Evolutionary Multi- and Many-objective Optimization. CoRR abs/2011.10760 (2020) - [i22]Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth Fialho Wanner, Kalyanmoy Deb:
Analyzing Dominance Move (MIP-DoM) Indicator for Multi- and Many-objective Optimization. CoRR abs/2012.11557 (2020)
2010 – 2019
- 2019
- [j136]Lei Chen, Kalyanmoy Deb, Hai-Lin Liu:
Explicit Control of Implicit Parallelism in Decomposition-Based Evolutionary Many-Objective Optimization Algorithms [Research Frontier]. IEEE Comput. Intell. Mag. 14(4): 52-64 (2019) - [j135]Proteek Chandan Roy, Andrey K. Guber, Mohammad Abouali, A. Pouyan Nejadhashemi, Kalyanmoy Deb, Alvin J. M. Smucker:
Crop yield simulation optimization using precision irrigation and subsurface water retention technology. Environ. Model. Softw. 119: 433-444 (2019) - [j134]Amir H. Gandomi, Kalyanmoy Deb, Ronald C. Averill, Shahryar Rahnamayan, Mohammad Nabi Omidvar:
Using semi-independent variables to enhance optimization search. Expert Syst. Appl. 120: 279-297 (2019) - [j133]Matt Ryerkerk, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman:
A survey of evolutionary algorithms using metameric representations. Genet. Program. Evolvable Mach. 20(4): 441-478 (2019) - [j132]Rituparna Datta, Kalyanmoy Deb, Jong-Hwan Kim:
CHIP: Constraint Handling with Individual Penalty approach using a hybrid evolutionary algorithm. Neural Comput. Appl. 31(9): 5255-5271 (2019) - [j131]Ankur Sinha, Tharo Soun, Kalyanmoy Deb:
Using Karush-Kuhn-Tucker proximity measure for solving bilevel optimization problems. Swarm Evol. Comput. 44: 496-510 (2019) - [j130]Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman:
Push and pull search for solving constrained multi-objective optimization problems. Swarm Evol. Comput. 44: 665-679 (2019) - [j129]Hui Li, Kalyanmoy Deb, Qingfu Zhang, Ponnuthurai N. Suganthan, Lei Chen:
Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties. Swarm Evol. Comput. 46: 104-117 (2019) - [j128]Zhun Fan, Yugen You, Xinye Cai, Haodong Zheng, Guijie Zhu, Wenji Li, Akhil Garg, Kalyanmoy Deb, Erik D. Goodman:
Analysis and multi-objective optimization of a kind of teaching manipulator. Swarm Evol. Comput. 50 (2019) - [j127]Proteek Chandan Roy, Kalyanmoy Deb, Md. Monirul Islam:
An Efficient Nondominated Sorting Algorithm for Large Number of Fronts. IEEE Trans. Cybern. 49(3): 859-869 (2019) - [j126]Kalyanmoy Deb, Rayan Hussein, Proteek Chandan Roy, Gregorio Toscano Pulido:
A Taxonomy for Metamodeling Frameworks for Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 23(1): 104-116 (2019) - [j125]Haitham Seada, Mohamed Abouhawwash, Kalyanmoy Deb:
Multiphase Balance of Diversity and Convergence in Multiobjective Optimization. IEEE Trans. Evol. Comput. 23(3): 503-513 (2019) - [j124]Hui Li, Kalyanmoy Deb, Qingfu Zhang:
Variable-Length Pareto Optimization via Decomposition-Based Evolutionary Multiobjective Algorithm. IEEE Trans. Evol. Comput. 23(6): 987-999 (2019) - [c284]Azam Asilian Bidgoli, Shahryar Rahnamayan, Sedigheh Mahdavi, Kalyanmoy Deb:
A Novel Pareto-VIKOR Index for Ranking Scientists' Publication Impacts: A Case Study on Evolutionary Computation Researchers. CEC 2019: 2458-2465 - [c283]Sedigheh Mahdavi, Shahryar Rahnamayan, Kalyanmoy Deb, Mitra Rahnamayan:
A Knowledge Discovery of Relationships among Dataset Entities Using Optimum Hierarchical Clustering by DE Algorithm. CEC 2019: 2761-2770 - [c282]Kalyanmoy Deb, Sunith Bandaru, Haitham Seada:
Generating Uniformly Distributed Points on a Unit Simplex for Evolutionary Many-Objective Optimization. EMO 2019: 179-190 - [c281]Julian Blank, Kalyanmoy Deb, Proteek Chandan Roy:
Investigating the Normalization Procedure of NSGA-III. EMO 2019: 229-240 - [c280]Proteek Chandan Roy, Rayan Hussein, Julian Blank, Kalyanmoy Deb:
Trust-Region Based Multi-objective Optimization for Low Budget Scenarios. EMO 2019: 373-385 - [c279]Proteek Chandan Roy, Andrey K. Guber, Mohammad Abouali, A. Pouyan Nejadhashemi, Kalyanmoy Deb, Alvin J. M. Smucker:
Simulation Optimization of Water Usage and Crop Yield Using Precision Irrigation. EMO 2019: 695-706 - [c278]Oskar Marko, Dejan Pavlovic, Vladimir S. Crnojevic, Kalyanmoy Deb:
Optimisation of crop configuration using NSGA-III with categorical genetic operators. GECCO (Companion) 2019: 223-224 - [c277]Hemant Kumar Singh, Kalyanmoy Deb:
A parametric investigation of PBI and AASF scalarizations. GECCO (Companion) 2019: 233-234 - [c276]Zhichao Lu, Ian Whalen, Vishnu Boddeti, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf:
NSGA-Net: neural architecture search using multi-objective genetic algorithm. GECCO 2019: 419-427 - [e21]Kalyanmoy Deb, Erik D. Goodman, Carlos A. Coello Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, Patrick M. Reed:
Evolutionary Multi-Criterion Optimization - 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings. Lecture Notes in Computer Science 11411, Springer 2019, ISBN 978-3-030-12597-4 [contents] - [i21]Ke Li, Minhui Liao, Kalyanmoy Deb, Geyong Min, Xin Yao:
Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multi-Objective Optimisation Using Reference Points. CoRR abs/1909.13567 (2019) - [i20]Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks. CoRR abs/1912.01369 (2019) - 2018
- [j123]Jonas Schwaab, Kalyanmoy Deb, Erik D. Goodman, Sven Lautenbach, Maarten van Strien, Adrienne Grêt-Regamey:
Improving the performance of genetic algorithms for land-use allocation problems. Int. J. Geogr. Inf. Sci. 32(5): 907-930 (2018) - [j122]Zhichao Lu, Kalyanmoy Deb, Ankur Sinha:
Uncertainty Handling in Bilevel Optimization for Robust and Reliable Solutions. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 26(Supplement-2): 1-24 (2018) - [j121]Federica Sarro, Kalyanmoy Deb, Marouane Kessentini:
Guest Editorial for the 8th Symposium on Search Based Software Engineering Special Section. Inf. Softw. Technol. 95: 265 (2018) - [j120]Okkes Tolga Altinöz, Kalyanmoy Deb, Asim Egemen Yilmaz:
Distributed approaches for reference-point-based multi-objective hybrid problems. Inf. Sci. 467: 323-341 (2018) - [j119]Okkes Tolga Altinöz, Kalyanmoy Deb, Asim Egemen Yilmaz:
Evaluation of the migrated solutions for distributing reference point-based multi-objective optimization algorithms. Inf. Sci. 467: 750-765 (2018) - [j118]Amos H. C. Ng, Florian Siegmund, Kalyanmoy Deb:
Reference point based evolutionary multi-objective optimization with dynamic resampling for production systems improvement. J. Syst. Inf. Technol. 20(4): 489-512 (2018) - [j117]Okkes Tolga Altinöz, Kalyanmoy Deb:
Late parallelization and feedback approaches for distributed computation of evolutionary multi-objective optimization algorithms. Neural Comput. Appl. 30(3): 723-733 (2018) - [j116]Sedigheh Mahdavi, Shahryar Rahnamayan, Kalyanmoy Deb:
Opposition based learning: A literature review. Swarm Evol. Comput. 39: 1-23 (2018) - [j115]Amin Ibrahim, Shahryar Rahnamayan, Miguel Vargas Martin, Kalyanmoy Deb:
3D-RadVis Antenna: Visualization and performance measure for many-objective optimization. Swarm Evol. Comput. 39: 157-176 (2018) - [j114]Ankur Sinha, Pekka Malo, Kalyanmoy Deb:
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications. IEEE Trans. Evol. Comput. 22(2): 276-295 (2018) - [j113]Federica Sarro, Marouane Kessentini, Kalyanmoy Deb:
Guest Editorial Special Issue on Search-Based Software Engineering. IEEE Trans. Evol. Comput. 22(3): 333 (2018) - [j112]Hai-Lin Liu, Lei Chen, Qingfu Zhang, Kalyanmoy Deb:
Adaptively Allocating Search Effort in Challenging Many-Objective Optimization Problems. IEEE Trans. Evol. Comput. 22(3): 433-448 (2018) - [j111]Ke Li, Kalyanmoy Deb, Xin Yao:
R-Metric: Evaluating the Performance of Preference-Based Evolutionary Multiobjective Optimization Using Reference Points. IEEE Trans. Evol. Comput. 22(6): 821-835 (2018) - [j110]Ali Ahrari, Kalyanmoy Deb:
A Novel Class of Test Problems for Performance Evaluation of Niching Methods. IEEE Trans. Evol. Comput. 22(6): 909-919 (2018) - [j109]Kalyanmoy Deb, Ling Zhu, Sandeep S. Kulkarni:
Handling Multiple Scenarios in Evolutionary Multiobjective Numerical Optimization. IEEE Trans. Evol. Comput. 22(6): 920-933 (2018) - [c275]Ankur Sinha, Samish Bedi, Kalyanmoy Deb:
Bilevel Optimization Based on Kriging Approximations of Lower Level Optimal Value Function. CEC 2018: 1-8 - [c274]Zhichao Lu, Kalyanmoy Deb, Hemant K. Singh:
Balancing Survival of Feasible and Infeasible Solutions in Constraint Evolutionary Optimization Algorithms. CEC 2018: 1-8 - [c273]Proteek Chandan Roy, Julian Blank, Rayan Hussein, Kalyanmoy Deb:
Trust-region based algorithms with low-budget for multi-objective optimization. GECCO (Companion) 2018: 195-196 - [c272]A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb, Julian Blank:
Visualization of the boundary solutions of high dimensional pareto front from a decision maker's perspective. GECCO (Companion) 2018: 201-202 - [c271]Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Martí, Yi Mei, Juan Julián Merelo Guervós, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang:
Tutorials at PPSN 2018. PPSN (2) 2018: 477-489 - [c270]Yashesh D. Dhebar, Kalyanmoy Deb:
Design of an Adaptive Push-Repel Operator for Enhancing Convergence in Genetic Algorithms. SSCI 2018: 696-703 - [c269]Rayan Hussein, Proteek Chandan Roy, Kalyanmoy Deb:
Switching Between Metamodeling Frameworks for Efficient Multi-Objective Optimization. SSCI 2018: 1188-1195 - [c268]A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb:
A Topologically Consistent Visualization of High Dimensional Pareto-front for Multi-Criteria Decision Making. SSCI 2018: 1579-1586 - [c267]Yash Vesikar, Kalyanmoy Deb, Julian Blank:
Reference Point Based NSGA-III for Preferred Solutions. SSCI 2018: 1587-1594 - [c266]José R. Llera, Kalyanmoy Deb, Erik S. Runkle, Lihong Xu, Erik D. Goodman:
Evolving and Comparing Greenhouse Control Strategies using Model-Based Multi-Objective Optimization. SSCI 2018: 1929-1936 - [c265]Amin Ibrahim, Shahryar Rahnamayan, Miguel Vargas Martin, Kalyanmoy Deb:
Enhanced Correlation Matrix Based Visualization for Multi- and Many-objective optimization. SSCI 2018: 2345-2352 - [p18]Haitham Seada, Kalyanmoy Deb:
Non-dominated Sorting Based Multi/Many-Objective Optimization: Two Decades of Research and Application. Multi-Objective Optimization 2018: 1-24 - [i19]Zhun Fan, Yugen You, Haodong Zheng, Guijie Zhu, Wenji Li, Shen Chen, Kalyanmoy Deb, Erik D. Goodman:
Modeling and Multi-objective Optimization of a Kind of Teaching Manipulator. CoRR abs/1801.10599 (2018) - [i18]Zhichao Lu, Ian Whalen, Vishnu Boddeti, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf:
NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search. CoRR abs/1810.03522 (2018) - 2017
- [j108]Ankur Sinha, Pekka Malo, Kalyanmoy Deb:
Approximated set-valued mapping approach for handling multiobjective bilevel problems. Comput. Oper. Res. 77: 194-209 (2017) - [j107]Mohamed Abouhawwash, Haitham Seada, Kalyanmoy Deb:
Towards faster convergence of evolutionary multi-criterion optimization algorithms using Karush Kuhn Tucker optimality based local search. Comput. Oper. Res. 79: 331-346 (2017) - [j106]Ali Ahrari, Kalyanmoy Deb, Mike Preuss:
Multimodal Optimization by Covariance Matrix Self-Adaptation Evolution Strategy with Repelling Subpopulations. Evol. Comput. 25(3): 439-471 (2017) - [j105]Ankur Sinha, Pekka Malo, Kalyanmoy Deb:
Evolutionary algorithm for bilevel optimization using approximations of the lower level optimal solution mapping. Eur. J. Oper. Res. 257(2): 395-411 (2017) - [j104]Kalyanmoy Deb, Christie Myburgh:
A population-based fast algorithm for a billion-dimensional resource allocation problem with integer variables. Eur. J. Oper. Res. 261(2): 460-474 (2017) - [j103]Marouane Kessentini, Usman Mansoor, Manuel Wimmer, Ali Ouni, Kalyanmoy Deb:
Search-based detection of model level changes. Empir. Softw. Eng. 22(2): 670-715 (2017) - [j102]Mohamed Wiem Mkaouer, Marouane Kessentini, Mel Ó Cinnéide, Shinpei Hayashi, Kalyanmoy Deb:
A robust multi-objective approach to balance severity and importance of refactoring opportunities. Empir. Softw. Eng. 22(2): 894-927 (2017) - [j101]Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb:
Data mining methods for knowledge discovery in multi-objective optimization: Part B - New developments and applications. Expert Syst. Appl. 70: 119-138 (2017) - [j100]Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb:
Data mining methods for knowledge discovery in multi-objective optimization: Part A - Survey. Expert Syst. Appl. 70: 139-159 (2017) - [j99]Matthew L. Ryerkerk, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman:
Solving metameric variable-length optimization problems using genetic algorithms. Genet. Program. Evolvable Mach. 18(2): 247-277 (2017) - [j98]Ali Ouni, Marouane Kessentini, Mel Ó Cinnéide, Houari A. Sahraoui, Kalyanmoy Deb, Katsuro Inoue:
MORE: A multi-objective refactoring recommendation approach to introducing design patterns and fixing code smells. J. Softw. Evol. Process. 29(5) (2017) - [j97]Usman Mansoor, Marouane Kessentini, Manuel Wimmer, Kalyanmoy Deb:
Multi-view refactoring of class and activity diagrams using a multi-objective evolutionary algorithm. Softw. Qual. J. 25(2): 473-501 (2017) - [j96]Usman Mansoor, Marouane Kessentini, Bruce R. Maxim, Kalyanmoy Deb:
Multi-objective code-smells detection using good and bad design examples. Softw. Qual. J. 25(2): 529-552 (2017) - [j95]Vadlamani Ravi, Dadabada Pradeepkumar, Kalyanmoy Deb:
Financial time series prediction using hybrids of chaos theory, multi-layer perceptron and multi-objective evolutionary algorithms. Swarm Evol. Comput. 36: 136-149 (2017) - [j94]Ke Li, Kalyanmoy Deb, Qingfu Zhang, Qiang Zhang:
Efficient Nondomination Level Update Method for Steady-State Evolutionary Multiobjective Optimization. IEEE Trans. Cybern. 47(9): 2838-2849 (2017) - [j93]Hai-Lin Liu, Lei Chen, Kalyanmoy Deb, Erik D. Goodman:
Investigating the Effect of Imbalance Between Convergence and Diversity in Evolutionary Multiobjective Algorithms. IEEE Trans. Evol. Comput. 21(3): 408-425 (2017) - [j92]Xiaodong Li, Michael G. Epitropakis, Kalyanmoy Deb, Andries P. Engelbrecht:
Seeking Multiple Solutions: An Updated Survey on Niching Methods and Their Applications. IEEE Trans. Evol. Comput. 21(4): 518-538 (2017) - [j91]Kalyanmoy Deb, Mohamed Abouhawwash, Haitham Seada:
A Computationally Fast Convergence Measure and Implementation for Single-, Multiple-, and Many-Objective Optimization. IEEE Trans. Emerg. Top. Comput. Intell. 1(4): 280-293 (2017) - [j90]Jonas Schwaab, Kalyanmoy Deb, Erik D. Goodman, Sven Lautenbach, Maarten van Strien, Adrienne Grêt-Regamey:
Reducing the loss of agricultural productivity due to compact urban development in municipalities of Switzerland. Comput. Environ. Urban Syst. 65: 162-177 (2017) - [c264]Rituparna Datta, Kalyanmoy Deb, Aviv Segev:
A bi-objective hybrid constrained optimization (HyCon) method using a multi-objective and penalty function approach. CEC 2017: 317-324 - [c263]Christie Myburgh, Kalyanmoy Deb:
Use of derived heuristics in improved performance of evolutionary optimization: An application to gold processing plant. CEC 2017: 830-837 - [c262]Abhinav Gaur, Kalyanmoy Deb:
Effect of size and order of variables in rules for multi-objective repair-based innovization procedure. CEC 2017: 2177-2184 - [c261]Hui Li, Kalyanmoy Deb:
Challenges for evolutionary multiobjective optimization algorithms in solving variable-length problems. CEC 2017: 2217-2224 - [c260]Shivam Kalra, Shahryar Rahnamayan, Kalyanmoy Deb:
Enhancing clearing-based niching method using Delaunay Triangulation. CEC 2017: 2328-2337 - [c259]Amin Ibrahim, Miguel Vargas Martin, Shahryar Rahnamayan, Kalyanmoy Deb:
Fusion-based hybrid many-objective optimization algorithm. CEC 2017: 2372-2381 - [c258]Ankur Sinha, Tharo Soun, Kalyanmoy Deb:
Evolutionary bilevel optimization using KKT proximity measure. CEC 2017: 2412-2419 - [c257]Ali Ahrari, Kalyanmoy Deb, Sankhya Mohanty, Jesper Henri Hattel:
Multi-objective optimization of cellular scanning strategy in selective laser melting. CEC 2017: 2730-2737 - [c256]Yashesh D. Dhebar, Kalyanmoy Deb:
Effect of a Push Operator in Genetic Algorithms for Multimodal Optimization. CICBA (1) 2017: 3-21 - [c255]Julian Blank, Kalyanmoy Deb, Sanaz Mostaghim:
Solving the Bi-objective Traveling Thief Problem with Multi-objective Evolutionary Algorithms. EMO 2017: 46-60 - [c254]Kalyanmoy Deb, Rayan Hussein, Proteek Chandan Roy, Gregorio Toscano:
Classifying Metamodeling Methods for Evolutionary Multi-objective Optimization: First Results. EMO 2017: 160-175 - [c253]Amin Ibrahim, Shahryar Rahnamayan, Miguel Vargas Martin, Kalyanmoy Deb:
Fusion of Many-Objective Non-dominated Solutions Using Reference Points. EMO 2017: 314-328 - [c252]Ke Li, Kalyanmoy Deb, Okkes Tolga Altinöz, Xin Yao:
Empirical Investigations of Reference Point Based Methods When Facing a Massively Large Number of Objectives: First Results. EMO 2017: 390-405 - [c251]Haitham Seada, Mohamed Abouhawwash, Kalyanmoy Deb:
Towards a Better Balance of Diversity and Convergence in NSGA-III: First Results. EMO 2017: 545-559 - [c250]Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb:
A Comparative Study of Fast Adaptive Preference-Guided Evolutionary Multi-objective Optimization. EMO 2017: 560-574 - [c249]A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb, Shahryar Rahnamayan:
Injection of Extreme Points in Evolutionary Multiobjective Optimization Algorithms. EMO 2017: 590-605 - [c248]Daniel J. Couvertier, Erik D. Goodman, Kalyanmoy Deb:
Towards an epigenetics-inspired control system for power dispatch problem. GECCO (Companion) 2017: 147-148 - [c247]Yashesh D. Dhebar, Kalyanmoy Deb:
A computationally fast multimodal optimization with push enabled genetic algorithm. GECCO (Companion) 2017: 191-192 - [c246]Md. Jakirul Islam, Xiaodong Li, Kalyanmoy Deb:
Multimodal truss structure design using bilevel and niching based evolutionary algorithms. GECCO 2017: 274-281 - [c245]Jonas Schwaab, Kalyanmoy Deb, Erik D. Goodman, Sven Lautenbach, Maarten van Strien, Adrienne Grêt-Regamey:
Short versus long-term urban planning using multi-objective optimization. GECCO (Companion) 2017: 305-306 - [c244]Proteek Chandan Roy, Rayan Hussein, Kalyanmoy Deb:
Metamodeling for multimodal selection functions in evolutionary multi-objective optimization. GECCO 2017: 625-632 - [c243]Samineh Bagheri, Wolfgang Konen, Richard Allmendinger, Jürgen Branke, Kalyanmoy Deb, Jonathan E. Fieldsend, Domenico Quagliarella, Karthik Sindhya:
Constraint handling in efficient global optimization. GECCO 2017: 673-680 - [c242]Kalyanmoy Deb:
Recent advances in evolutionary multi-criterion optimization (EMO). GECCO (Companion) 2017: 702-735 - [c241]Bradley L. Barnhart, Zhichao Lu, Moriah Bostian, Ankur Sinha, Kalyanmoy Deb, Luba Kurkalova, Manoj Jha, Gerald Whittaker:
Handling practicalities in agricultural policy optimization for water quality improvements. GECCO 2017: 1065-1072 - [c240]Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, John M. Wassick:
Solving a supply-chain management problem using a bilevel approach. GECCO 2017: 1185-1192 - [c239]Abhinav Gaur, A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb, Santosh Tiwari, Simon Xu, Don Jones:
Finding near-optimum and diverse solutions for a large-scale engineering design problem. SSCI 2017: 1-8 - [p17]Ankur Sinha, Pekka Malo, Kalyanmoy Deb:
Evolutionary Bilevel Optimization: An Introduction and Recent Advances. Recent Advances in Evolutionary Multi-objective Optimization 2017: 71-103 - [i17]Ke Li, Kalyanmoy Deb, Xin Yao:
Integration of Preferences in Decomposition Multi-Objective Optimization. CoRR abs/1701.05935 (2017) - [i16]Ankur Sinha, Pekka Malo, Kalyanmoy Deb:
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications. CoRR abs/1705.06270 (2017) - [i15]Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman:
Push and Pull Search for Solving Constrained Multi-objective Optimization Problems. CoRR abs/1709.05915 (2017) - 2016
- [j89]Faez Ahmed, Kalyanmoy Deb, Bishakh Bhattacharya:
Structural topology optimization using multi-objective genetic algorithm with constructive solid geometry representation. Appl. Soft Comput. 39: 240-250 (2016) - [j88]Mohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Mel Ó Cinnéide, Kalyanmoy Deb:
On the use of many quality attributes for software refactoring: a many-objective search-based software engineering approach. Empir. Softw. Eng. 21(6): 2503-2545 (2016) - [j87]Ralph E. Steuer, Markus Hirschberger, Kalyanmoy Deb:
Extracting from the relaxed for large-scale semi-continuous variable nondominated frontiers. J. Glob. Optim. 64(1): 33-48 (2016) - [j86]Rituparna Datta, Kalyanmoy Deb:
Uniform adaptive scaling of equality and inequality constraints within hybrid evolutionary-cum-classical optimization. Soft Comput. 20(6): 2367-2382 (2016) - [j85]Ankur Sinha, Pekka Malo, Kalyanmoy Deb, Pekka J. Korhonen, Jyrki Wallenius:
Solving Bilevel Multicriterion Optimization Problems With Lower Level Decision Uncertainty. IEEE Trans. Evol. Comput. 20(2): 199-217 (2016) - [j84]Haitham Seada, Kalyanmoy Deb:
A Unified Evolutionary Optimization Procedure for Single, Multiple, and Many Objectives. IEEE Trans. Evol. Comput. 20(3): 358-369 (2016) - [j83]Kalyanmoy Deb, Mohamed Abouhawwash:
An Optimality Theory-Based Proximity Measure for Set-Based Multiobjective Optimization. IEEE Trans. Evol. Comput. 20(4): 515-528 (2016) - [j82]Ali Ouni, Marouane Kessentini, Houari A. Sahraoui, Katsuro Inoue, Kalyanmoy Deb:
Multi-Criteria Code Refactoring Using Search-Based Software Engineering: An Industrial Case Study. ACM Trans. Softw. Eng. Methodol. 25(3): 23:1-23:53 (2016) - [c238]Amin Ibrahim, Shahryar Rahnamayan, Miguel Vargas Martin, Kalyanmoy Deb:
3D-RadVis: Visualization of Pareto front in many-objective optimization. CEC 2016: 736-745 - [c237]Amin Ibrahim, Shahryar Rahnamayan, Miguel Vargas Martin, Kalyanmoy Deb:
EliteNSGA-III: An improved evolutionary many-objective optimization algorithm. CEC 2016: 973-982 - [c236]Mardé Helbig, Kalyanmoy Deb, Andries P. Engelbrecht:
Key challenges and future directions of dynamic multi-objective optimisation. CEC 2016: 1256-1261 - [c235]Ankur Sinha, Pekka Malo, Kalyanmoy Deb:
Solving optimistic bilevel programs by iteratively approximating lower level optimal value function. CEC 2016: 1877-1884 - [c234]Varun Suryan, Ankur Sinha, Pekka Malo, Kalyanmoy Deb:
Handling inverse optimal control problems using evolutionary bilevel optimization. CEC 2016: 1893-1900 - [c233]Proteek Chandan Roy, Kalyanmoy Deb:
High dimensional model representation for solving expensive multi-objective optimization problems. CEC 2016: 2490-2497 - [c232]Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb:
A ranking and selection strategy for preference-based evolutionary multi-objective optimization of variable-noise problems. CEC 2016: 3035-3044 - [c231]Sedigheh Mahdavi, Shahryar Rahnamayan, Kalyanmoy Deb:
Center-based initialization of cooperative co-evolutionary algorithm for large-scale optimization. CEC 2016: 3557-3565 - [c230]Gregorio Toscano, Kalyanmoy Deb:
Study of the approximation of the fitness landscape and the ranking process of scalarizing functions for many-objective problems. CEC 2016: 4358-4365 - [c229]Hai-Lin Liu, Lei Chen, Qingfu Zhang, Kalyanmoy Deb:
An evolutionary many-objective optimisation algorithm with adaptive region decomposition. CEC 2016: 4763-4769 - [c228]Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb:
Hybrid Dynamic Resampling Algorithms for Evolutionary Multi-objective Optimization of Invariant-Noise Problems. EvoApplications (2) 2016: 311-326 - [c227]Abhinav Gaur, Kalyanmoy Deb:
Adaptive Use of Innovization Principles for a Faster Convergence of Evolutionary Multi-Objective Optimization Algorithms. GECCO (Companion) 2016: 75-76 - [c226]Haitham Ahmed Seada, Mohamed Abouhawwash, Kalyanmoy Deb:
Towards a Better Diversity of Evolutionary Multi-Criterion Optimization Algorithms using Local Searches. GECCO (Companion) 2016: 77-78 - [c225]Ali Ahrari, Hong Lei, Montassar Aidi Sharif, Kalyanmoy Deb, Xiaobo Tan:
Optimum Design of Artificial Lateral Line Systems for Object Tracking under Uncertain Conditions. GECCO (Companion) 2016: 123-124 - [c224]Mohamed Abouhawwash, Kalyanmoy Deb:
Karush-Kuhn-Tucker Proximity Measure for Multi-Objective Optimization Based on Numerical Gradients. GECCO 2016: 525-532 - [c223]Rayan Hussein, Kalyanmoy Deb:
A Generative Kriging Surrogate Model for Constrained and Unconstrained Multi-objective Optimization. GECCO 2016: 573-580 - [c222]Kalyanmoy Deb, Christie Myburgh:
Breaking the Billion-Variable Barrier in Real-World Optimization Using a Customized Evolutionary Algorithm. GECCO 2016: 653-660 - [c221]Zhichao Lu, Kalyanmoy Deb, Ankur Sinha:
Finding Reliable Solutions in Bilevel Optimization Problems Under Uncertainties. GECCO 2016: 941-948 - [c220]A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb, Shahryar Rahnamayan:
Maintaining Diversity in The Bounded Pareto-Set: A Case of Opposition Based Solution Generation Scheme. GECCO (Companion) 2016: 945-951 - [c219]Proteek Chandan Roy, Md. Monirul Islam, Kalyanmoy Deb:
Best Order Sort: A New Algorithm to Non-dominated Sorting for Evolutionary Multi-objective Optimization. GECCO (Companion) 2016: 1113-1120 - [c218]Ke Li, Mohammad Nabi Omidvar, Kalyanmoy Deb, Xin Yao:
Variable Interaction in Multi-objective Optimization Problems. PPSN 2016: 399-409 - [c217]Sedigheh Mahdavi, Shahryar Rahnamayan, Kalyanmoy Deb:
Partial opposition-based learning using current best candidate solution. SSCI 2016: 1-7 - [e20]Federica Sarro, Kalyanmoy Deb:
Search Based Software Engineering - 8th International Symposium, SSBSE 2016, Raleigh, NC, USA, October 8-10, 2016, Proceedings. Lecture Notes in Computer Science 9962, 2016, ISBN 978-3-319-47105-1 [contents] - [i14]Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Kaiwen Hu, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman:
Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit. CoRR abs/1612.07603 (2016) - 2015
- [j81]Sunith Bandaru, Abhinav Gaur, Kalyanmoy Deb, Vineet R. Khare, Rahul Chougule, Pulak Bandyopadhyay:
Development, analysis and applications of a quantitative methodology for assessing customer satisfaction using evolutionary optimization. Appl. Soft Comput. 30: 265-278 (2015) - [j80]Nikhil Padhye, Pulkit Mittal, Kalyanmoy Deb:
Feasibility preserving constraint-handling strategies for real parameter evolutionary optimization. Comput. Optim. Appl. 62(3): 851-890 (2015) - [j79]Sunith Bandaru, Tehseen Aslam, Amos H. C. Ng, Kalyanmoy Deb:
Generalized higher-level automated innovization with application to inventory management. Eur. J. Oper. Res. 243(2): 480-496 (2015) - [j78]Ke Li, Sam Kwong, Kalyanmoy Deb:
A dual-population paradigm for evolutionary multiobjective optimization. Inf. Sci. 309: 50-72 (2015) - [j77]Usman Mansoor, Marouane Kessentini, Philip Langer, Manuel Wimmer, Slim Bechikh, Kalyanmoy Deb:
MOMM: Multi-objective model merging. J. Syst. Softw. 103: 423-439 (2015) - [j76]Dilan Sahin, Marouane Kessentini, Manuel Wimmer, Kalyanmoy Deb:
Model transformation testing: a bi-level search-based software engineering approach. J. Softw. Evol. Process. 27(11): 821-837 (2015) - [j75]Ke Li, Sam Kwong, Qingfu Zhang, Kalyanmoy Deb:
Interrelationship-Based Selection for Decomposition Multiobjective Optimization. IEEE Trans. Cybern. 45(10): 2076-2088 (2015) - [j74]Ke Li, Kalyanmoy Deb, Qingfu Zhang, Sam Kwong:
An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition. IEEE Trans. Evol. Comput. 19(5): 694-716 (2015) - [j73]Wiem Mkaouer, Marouane Kessentini, Adnan Shaout, Patrice Koligheu, Slim Bechikh, Kalyanmoy Deb, Ali Ouni:
Many-Objective Software Remodularization Using NSGA-III. ACM Trans. Softw. Eng. Methodol. 24(3): 17:1-17:45 (2015) - [c216]Ankur Sinha, Aleksi Porokka, Pekka Malo, Kalyanmoy Deb:
Unconstrained robust optimization using a descent-based crossover operator. CEC 2015: 85-92 - [c215]Cem Celal Tutum, Andrey K. Guber, Kalyanmoy Deb, Alvin Smucker, A. Pouyan Nejadhashemi, Berna Kiraz:
An integrated approach involving EMO and HYDRUS-2D software for SWRT-based precision irrigation. CEC 2015: 885-892 - [c214]Ke Li, Kalyanmoy Deb, Qingfu Zhang:
Evolutionary multiobjective optimization with hybrid selection principles. CEC 2015: 900-907 - [c213]Ankur Sinha, Pekka Malo, Kalyanmoy Deb:
Transportation policy formulation as a multi-objective bilevel optimization problem. CEC 2015: 1651-1658 - [c212]Zhichao Lu, Kalyanmoy Deb, Ankur Sinha:
Handling decision variable uncertainty in bilevel optimization problems. CEC 2015: 1683-1690 - [c211]Ali Ahrari, Hong Lei, Montassar Aidi Sharif, Kalyanmoy Deb, Xiaobo Tan:
Design optimization of artificial lateral line system under uncertain conditions. CEC 2015: 1807-1814 - [c210]Kalyanmoy Deb, Zhichao Lu, Chris B. McKesson, Cherie Courseault Trumbach, Larry DeCan:
Towards optimal ship design and valuable knowledge discovery under uncertain conditions. CEC 2015: 1815-1822 - [c209]Kalyanmoy Deb, Ling Zhu, Sandeep S. Kulkarni:
Multi-scenario, multi-objective optimization using evolutionary algorithms: Initial results. CEC 2015: 1877-1884 - [c208]Asad Mohammadi, Mohammad Nabi Omidvar, Xiaodong Li, Kalyanmoy Deb:
Sensitivity analysis of Penalty-based Boundary Intersection on aggregation-based EMO algorithms. CEC 2015: 2891-2898 - [c207]Abhinav Gaur, Kalyanmoy Deb:
Towards an automated Innovization method for handling discrete search spaces. CEC 2015: 2899-2906 - [c206]Okkes Tolga Altinöz, Kalyanmoy Deb, Asim Egemen Yilmaz:
Reference point based distributed computing for multiobjective optimization. CEC 2015: 2907-2914 - [c205]Haitham Seada, Kalyanmoy Deb:
Effect of selection operator on NSGA-III in single, multi, and many-objective optimization. CEC 2015: 2915-2922 - [c204]Cem Celal Tutum, Kalyanmoy Deb:
A Multimodal Approach for Evolutionary Multi-objective Optimization (MEMO): Proof-of-Principle Results. EMO (1) 2015: 3-18 - [c203]Kalyanmoy Deb, Mohamed Abouhawwash, Joydeep Dutta:
An Optimality Theory Based Proximity Measure for Evolutionary Multi-Objective and Many-Objective Optimization. EMO (2) 2015: 18-33 - [c202]Chad M. Byers, Betty H. C. Cheng, Kalyanmoy Deb:
Unwanted Feature Interactions Between the Problem and Search Operators in Evolutionary Multi-objective Optimization. EMO (1) 2015: 19-33 - [c201]Haitham Seada, Kalyanmoy Deb:
U-NSGA-III: A Unified Evolutionary Optimization Procedure for Single, Multiple, and Many Objectives: Proof-of-Principle Results. EMO (2) 2015: 34-49 - [c200]Sunith Bandaru, Kalyanmoy Deb:
Temporal Innovization: Evolution of Design Principles Using Multi-objective Optimization. EMO (1) 2015: 79-93 - [c199]Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb:
Hybrid Dynamic Resampling for Guided Evolutionary Multi-Objective Optimization. EMO (1) 2015: 366-380 - [c198]Ankur Sinha, Pekka Malo, Kalyanmoy Deb:
Towards Understanding Bilevel Multi-objective Optimization with Deterministic Lower Level Decisions. EMO (1) 2015: 426-443 - [c197]Vadlamani Srikrishna, Rahul Ghosh, Vadlamani Ravi, Kalyanmoy Deb:
Elitist Quantum-Inspired Differential Evolution Based Wrapper for Feature Subset Selection. MIWAI 2015: 113-124 - [p16]Kalyanmoy Deb:
Multi-Objective Evolutionary Algorithms. Handbook of Computational Intelligence 2015: 995-1015 - [i13]Nikhil Padhye, Pulkit Mittal, Kalyanmoy Deb:
Feasibility Preserving Constraint-Handling Strategies for Real Parameter Evolutionary Optimization. CoRR abs/1504.04421 (2015) - 2014
- [j72]Kalyanmoy Deb, Sunith Bandaru, David Greiner, António Gaspar-Cunha, Cem Celal Tutum:
An integrated approach to automated innovization for discovering useful design principles: Case studies from engineering. Appl. Soft Comput. 15: 42-56 (2014) - [j71]Kalyanmoy Deb, Nikhil Padhye:
Enhancing performance of particle swarm optimization through an algorithmic link with genetic algorithms. Comput. Optim. Appl. 57(3): 761-794 (2014) - [j70]Ankur Sinha, Pekka Malo, Anton Frantsev, Kalyanmoy Deb:
Finding optimal strategies in a multi-period multi-leader-follower Stackelberg game using an evolutionary algorithm. Comput. Oper. Res. 41: 374-385 (2014) - [j69]Ankur Sinha, Pekka Malo, Kalyanmoy Deb:
Test Problem Construction for Single-Objective Bilevel Optimization. Evol. Comput. 22(3): 439-477 (2014) - [j68]Ankur Sinha, Pekka J. Korhonen, Jyrki Wallenius, Kalyanmoy Deb:
An interactive evolutionary multi-objective optimization algorithm with a limited number of decision maker calls. Eur. J. Oper. Res. 233(3): 674-688 (2014) - [j67]Kalyanmoy Deb, Debayan Deb:
Analysing mutation schemes for real-parameter genetic algorithms. Int. J. Artif. Intell. Soft Comput. 4(1): 1-28 (2014) - [j66]João A. Duro, Dhish Kumar Saxena, Kalyanmoy Deb, Qingfu Zhang:
Machine learning based decision support for many-objective optimization problems. Neurocomputing 146: 30-47 (2014) - [j65]Kalyanmoy Deb, Himanshu Jain:
An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints. IEEE Trans. Evol. Comput. 18(4): 577-601 (2014) - [j64]Himanshu Jain, Kalyanmoy Deb:
An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach. IEEE Trans. Evol. Comput. 18(4): 602-622 (2014) - [j63]Dilan Sahin, Marouane Kessentini, Slim Bechikh, Kalyanmoy Deb:
Code-Smell Detection as a Bilevel Problem. ACM Trans. Softw. Eng. Methodol. 24(1): 6:1-6:44 (2014) - [c196]Asad Mohammadi, Mohammad Nabi Omidvar, Xiaodong Li, Kalyanmoy Deb:
Integrating user preferences and decomposition methods for many-objective optimization. IEEE Congress on Evolutionary Computation 2014: 421-428 - [c195]Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb:
On the performance of classification algorithms for learning Pareto-dominance relations. IEEE Congress on Evolutionary Computation 2014: 1139-1146 - [c194]Robin C. Purshouse, Kalyanmoy Deb, Maszatul M. Mansor, Sanaz Mostaghim, Rui Wang:
A review of hybrid evolutionary multiple criteria decision making methods. IEEE Congress on Evolutionary Computation 2014: 1147-1154 - [c193]Ankur Sinha, Pekka Malo, Kalyanmoy Deb:
An improved bilevel evolutionary algorithm based on Quadratic Approximations. IEEE Congress on Evolutionary Computation 2014: 1870-1877 - [c192]Yashesh D. Dhebar, Kalyanmoy Deb, Sunith Bandaru:
Non-uniform mapping in real-coded genetic algorithms. IEEE Congress on Evolutionary Computation 2014: 2237-2244 - [c191]Ling Zhu, Kalyanmoy Deb, Sandeep S. Kulkarni:
Multi-scenario optimization using multi-criterion methods: A case study on Byzantine agreement problem. IEEE Congress on Evolutionary Computation 2014: 2601-2608 - [c190]Yaser Ali Enaya, Kalyanmoy Deb:
Network path optimization under dynamic conditions. IEEE Congress on Evolutionary Computation 2014: 2977-2984 - [c189]Mohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Mel Ó Cinnéide, Kalyanmoy Deb:
Software refactoring under uncertainty: a robust multi-objective approach. GECCO (Companion) 2014: 187-188 - [c188]Ankur Sinha, Pekka Malo, Peng Xu, Kalyanmoy Deb:
A bilevel optimization approach to automated parameter tuning. GECCO 2014: 847-854 - [c187]Kalyanmoy Deb, Ankur Sinha:
Evolutionary bilevel optimization (EBO). GECCO (Companion) 2014: 857-876 - [c186]Mohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Kalyanmoy Deb, Mel Ó Cinnéide:
High dimensional search-based software engineering: finding tradeoffs among 15 objectives for automating software refactoring using NSGA-III. GECCO 2014: 1263-1270 - [c185]Mohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Kalyanmoy Deb, Mel Ó Cinnéide:
Recommendation system for software refactoring using innovization and interactive dynamic optimization. ASE 2014: 331-336 - [c184]Kalyanmoy Deb, Florian Siegmund, Amos H. C. Ng:
R-HV: A Metric for Computing Hyper-volume for Reference Point Based EMOs. SEMCCO 2014: 98-110 - [i12]Ankur Sinha, Pekka Malo, Kalyanmoy Deb:
Test Problem Construction for Single-Objective Bilevel Optimization. CoRR abs/1401.1942 (2014) - 2013
- [j62]Faez Ahmed, Kalyanmoy Deb, Abhilash Jindal:
Multi-objective optimization and decision making approaches to cricket team selection. Appl. Soft Comput. 13(1): 402-414 (2013) - [j61]Ankur Sinha, Dhish Kumar Saxena, Kalyanmoy Deb, Ashutosh Tiwari:
Using objective reduction and interactive procedure to handle many-objective optimization problems. Appl. Soft Comput. 13(1): 415-427 (2013) - [j60]Dapeng Li, Sanjoy Das, Anil Pahwa, Kalyanmoy Deb:
A multi-objective evolutionary approach for generator scheduling. Expert Syst. Appl. 40(18): 7647-7655 (2013) - [j59]Ajay Dashora, Bharat Lohani, Kalyanmoy Deb:
Two-step procedure of optimisation for flight planning problem for airborne LiDAR data acquisition. Int. J. Math. Model. Numer. Optimisation 4(4): 323-350 (2013) - [j58]Nikhil Padhye, Piyush Bhardawaj, Kalyanmoy Deb:
Improving differential evolution through a unified approach. J. Glob. Optim. 55(4): 771-799 (2013) - [j57]Joydeep Dutta, Kalyanmoy Deb, Rupesh Tulshyan, Ramnik Arora:
Approximate KKT points and a proximity measure for termination. J. Glob. Optim. 56(4): 1463-1499 (2013) - [j56]Sunith Bandaru, Kalyanmoy Deb:
Higher and lower-level knowledge discovery from Pareto-optimal sets. J. Glob. Optim. 57(2): 281-298 (2013) - [j55]Kalyanmoy Deb, Shivam Gupta, Joydeep Dutta, Bhoomija Ranjan:
Solving dual problems using a coevolutionary optimization algorithm. J. Glob. Optim. 57(3): 891-933 (2013) - [j54]Arup Kumar Nandi, Kalyanmoy Deb, Shubhabrata Datta, Juhani Orkas:
A genetic fuzzy based modeling of effective thermal conductivity for polymer composites. J. Intell. Fuzzy Syst. 25(2): 259-270 (2013) - [j53]Faez Ahmed, Kalyanmoy Deb:
Multi-objective optimal path planning using elitist non-dominated sorting genetic algorithms. Soft Comput. 17(7): 1283-1299 (2013) - [j52]Dhish Kumar Saxena, João A. Duro, Ashutosh Tiwari, Kalyanmoy Deb, Qingfu Zhang:
Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms. IEEE Trans. Evol. Comput. 17(1): 77-99 (2013) - [j51]Karthik Sindhya, Kaisa Miettinen, Kalyanmoy Deb:
A Hybrid Framework for Evolutionary Multi-Objective Optimization. IEEE Trans. Evol. Comput. 17(4): 495-511 (2013) - [c183]Sunith Bandaru, Kalyanmoy Deb:
A parameterless-niching-assisted bi-objective approach to multimodal optimization. IEEE Congress on Evolutionary Computation 2013: 95-102 - [c182]Ankur Sinha, Pekka Malo, Anton Frantsev, Kalyanmoy Deb:
Multi-objective Stackelberg game between a regulating authority and a mining company: A case study in environmental economics. IEEE Congress on Evolutionary Computation 2013: 478-485 - [c181]Rituparna Datta, M. Fernanda P. Costa, Kalyanmoy Deb, António Gaspar-Cunha:
An evolutionary algorithm based pattern search approach for constrained optimization. IEEE Congress on Evolutionary Computation 2013: 1355-1362 - [c180]Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb:
A comparative study of dynamic resampling strategies for guided Evolutionary Multi-objective Optimization. IEEE Congress on Evolutionary Computation 2013: 1826-1835 - [c179]Nikhil Padhye, Pulkit Mittal, Kalyanmoy Deb:
Differential evolution: Performances and analyses. IEEE Congress on Evolutionary Computation 2013: 1960-1967 - [c178]Rituparna Datta, Kalyanmoy Deb:
Individual penalty based constraint handling using a hybrid bi-objective and penalty function approach. IEEE Congress on Evolutionary Computation 2013: 2720-2727 - [c177]Gustavo Recio, Kalyanmoy Deb:
Solving clustering problems using bi-objective evolutionary optimisation and knee finding algorithms. IEEE Congress on Evolutionary Computation 2013: 2848-2855 - [c176]Kalyanmoy Deb:
Innovization: Discovery of Innovative Solution Principles Using Multi-Objective Optimization. EMO 2013: 4-5 - [c175]Himanshu Jain, Kalyanmoy Deb:
An Improved Adaptive Approach for Elitist Nondominated Sorting Genetic Algorithm for Many-Objective Optimization. EMO 2013: 307-321 - [c174]Sunith Bandaru, Kalyanmoy Deb:
A Dimensionally-Aware Genetic Programming Architecture for Automated Innovization. EMO 2013: 513-527 - [c173]Ankur Sinha, Pekka Malo, Kalyanmoy Deb:
Evolutionary bilevel optimization. GECCO (Companion) 2013: 877-892 - [c172]Amos H. C. Ng, Catarina Dudas, Henrik Boström, Kalyanmoy Deb:
Interleaving Innovization with Evolutionary Multi-Objective Optimization in Production System Simulation for Faster Convergence. LION 2013: 1-18 - [c171]Kalyanmoy Deb, Soumil Srivastava, Akshay Chawla:
Meta-modeling and Optimization for Varying Dimensional Search Space. SEMCCO (1) 2013: 13-23 - [p15]Kalyanmoy Deb:
Two Approaches for Single and Multi-Objective Dynamic Optimization. Metaheuristics for Dynamic Optimization 2013: 99-116 - [i11]Ankur Sinha, Pekka Malo, Kalyanmoy Deb:
Efficient Evolutionary Algorithm for Single-Objective Bilevel Optimization. CoRR abs/1303.3901 (2013) - [i10]Ankur Sinha, Pekka Malo, Anton Frantsev, Kalyanmoy Deb:
Finding Optimal Strategies in a Multi-Period Multi-Leader-Follower Stackelberg Game Using an Evolutionary Algorithm. CoRR abs/1307.6246 (2013) - [i9]Ankur Sinha, Pekka Malo, Anton Frantsev, Kalyanmoy Deb:
Multi-objective Stackelberg Game Between a Regulating Authority and a Mining Company: A Case Study in Environmental Economics. CoRR abs/1307.6250 (2013) - 2012
- [b2]Kalyanmoy Deb:
Optimization for Engineering Design - Algorithms and Examples, Second Edition. PHI Learning Private Limited 2012, ISBN 978-81-203-4678-9, pp. I-XVIII, 1-421 - [j50]Arup Kumar Nandi, Kalyanmoy Deb, Subhas Ganguly, Shubhabrata Datta:
Investigating the role of metallic fillers in particulate reinforced flexible mould material composites using evolutionary algorithms. Appl. Soft Comput. 12(1): 28-39 (2012) - [j49]Kalyanmoy Deb, Francisco Ruiz, Mariano Luque, Rahul Tewari, Jose Manuel Cabello, Jose M. Cejudo:
On the sizing of a solar thermal electricity plant for multiple objectives using evolutionary optimization. Appl. Soft Comput. 12(10): 3300-3311 (2012) - [j48]Kalyanmoy Deb, Soumil Srivastava:
A genetic algorithm based augmented Lagrangian method for constrained optimization. Comput. Optim. Appl. 53(3): 869-902 (2012) - [j47]Kalyanmoy Deb, Amit Saha:
Multimodal Optimization Using a Bi-Objective Evolutionary Algorithm. Evol. Comput. 20(1): 27-62 (2012) - [j46]Arup Kumar Nandi, Shubhabrata Datta, Kalyanmoy Deb:
Design of particle-reinforced polyurethane mould materials for soft tooling process using evolutionary multi-objective optimization algorithms. Soft Comput. 16(6): 989-1008 (2012) - [c170]Abhinav Gaur, Sunith Bandaru, Vineet R. Khare, Rahul Chougule, Kalyanmoy Deb:
Identification and Impact Assessment of High-Priority Field Failures in Passenger Vehicles Using Evolutionary Optimization. BIC-TA (1) 2012: 111-122 - [c169]Kalyanmoy Deb, Yashesh D. Dhebar, N. V. R. Pavan:
Non-Uniform Mapping in Binary-Coded Genetic Algorithms. BIC-TA (1) 2012: 133-144 - [c168]Faez Ahmed, Bishakh Bhattacharya, Kalyanmoy Deb:
Constructive Solid Geometry Based Topology Optimization Using Evolutionary Algorithm. BIC-TA (1) 2012: 227-238 - [c167]Nikhil Padhye, Kalyanmoy Deb, Pulkit Mittal:
Boundary Handling Approaches in Particle Swarm Optimization. BIC-TA (1) 2012: 287-298 - [c166]Oliver Chikumbo, Erik D. Goodman, Kalyanmoy Deb:
Approximating a multi-dimensional Pareto front for a land use management problem: A modified MOEA with an epigenetic silencing metaphor. IEEE Congress on Evolutionary Computation 2012: 1-9 - [c165]Rituparna Datta, Michael S. Bittermann, Kalyanmoy Deb, Özer Ciftcioglu:
Probabilistic constraint handling in the framework of joint evolutionary-classical optimization with engineering applications. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c164]Rituparna Datta, Kalyanmoy Deb:
An adaptive normalization based constrained handling methodology with hybrid bi-objective and penalty function approach. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c163]Kalyanmoy Deb, Himanshu Jain:
Handling many-objective problems using an improved NSGA-II procedure. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c162]Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb:
Finding a preferred diverse set of Pareto-optimal solutions for a limited number of function calls. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c161]Ankur Sinha, Pekka Malo, Kalyanmoy Deb:
Unconstrained scalable test problems for single-objective bilevel optimization. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c160]Ankur Sinha, Anmol Pandey, Kalyanmoy Deb:
Solving high objective problems in fixed interactions with the decision maker. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c159]Dimo Brockhoff, Kalyanmoy Deb:
GECCO 2012 tutorial on evolutionary multiobjective optimization. GECCO (Companion) 2012: 751-776 - [c158]Matt Ryerkerk, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman:
Meaningful representation and recombination of variable length genomes. GECCO (Companion) 2012: 1471-1472 - [c157]Kalyanmoy Deb, Sunith Bandaru, Cem Celal Tutum:
Temporal Evolution of Design Principles in Engineering Systems: Analogies with Human Evolution. PPSN (2) 2012: 1-10 - [c156]Debayan Deb, Kalyanmoy Deb:
Investigation of Mutation Schemes in Real-Parameter Genetic Algorithms. SEMCCO 2012: 1-8 - [c155]Arnav Acharyya, Kalyanmoy Deb:
Associated and Assorted Recombination in SBX Operator for Problems with Linkages. SEMCCO 2012: 484-491 - [c154]Kalyanmoy Deb:
Advances in Evolutionary Multi-objective Optimization. SSBSE 2012: 1-26 - [c153]Florian Siegmund, Jacob Bernedixen, Leif Pehrsson, Amos H. C. Ng, Kalyanmoy Deb:
Reference point-based evolutionary multi-objective optimization for industrial systems simulation. WSC 2012: 130:1-130:11 - [p14]David W. Corne, Kalyanmoy Deb, Joshua D. Knowles, Xin Yao:
Selected Aspects of Natural Computing. Handbook of Natural Computing 2012: 1737-1801 - [e19]Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia, Mario Pavone:
Parallel Problem Solving from Nature - PPSN XII - 12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part I. Lecture Notes in Computer Science 7491, Springer 2012, ISBN 978-3-642-32936-4 [contents] - [e18]Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia, Mario Pavone:
Parallel Problem Solving from Nature - PPSN XII - 12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part II. Lecture Notes in Computer Science 7492, Springer 2012, ISBN 978-3-642-32963-0 [contents] - 2011
- [j45]Karthik Sindhya, Kalyanmoy Deb, Kaisa Miettinen:
Improving convergence of evolutionary multi-objective optimization with local search: a concurrent-hybrid algorithm. Nat. Comput. 10(4): 1407-1430 (2011) - [c152]Sunith Bandaru, Rupesh Tulshyan, Kalyanmoy Deb:
Modified SBX and adaptive mutation for real world single objective optimization. IEEE Congress on Evolutionary Computation 2011: 1335-1342 - [c151]Sunith Bandaru, Cem Celal Tutum, Kalyanmoy Deb, Jesper Henri Hattel:
Higher-level innovization: A case study from Friction Stir Welding process optimization. IEEE Congress on Evolutionary Computation 2011: 2782-2789 - [c150]Sunith Bandaru, Kalyanmoy Deb:
Automated Innovization for Simultaneous Discovery of Multiple Rules in Bi-objective Problems. EMO 2011: 1-15 - [c149]Rituparna Datta, Kalyanmoy Deb:
A Bi-objective Based Hybrid Evolutionary-Classical Algorithm for Handling Equality Constraints. EMO 2011: 313-327 - [c148]Kalyanmoy Deb, Ralph E. Steuer, Rajat Tewari, Rahul Tewari:
Bi-objective Portfolio Optimization Using a Customized Hybrid NSGA-II Procedure. EMO 2011: 358-373 - [c147]Rupesh Tulshyan, Kalyanmoy Deb, Sunith Bandaru:
KKT proximity measure for testing convergence in smooth multi-objective optimization. GECCO (Companion) 2011: 93-94 - [c146]Sunith Bandaru, Kalyanmoy Deb:
Design knowledge extraction in multi-objective optimization problems. GECCO (Companion) 2011: 787-790 - [c145]Rupesh Kumar Srivastava, Kalyanmoy Deb:
An EA-based approach to design optimization using evidence theory. GECCO 2011: 1139-1146 - [c144]Sunith Bandaru, Kalyanmoy Deb, Vineet R. Khare, Rahul Chougule:
Quantitative modeling of customer perception from service data using evolutionary optimization. GECCO 2011: 1763-1770 - [c143]Rituparna Datta, Kalyanmoy Deb:
Multi-objective design and analysis of robot gripper configurations using an evolutionary-classical approach. GECCO 2011: 1843-1850 - [c142]Faez Ahmed, Kalyanmoy Deb:
Multi-objective path planning using spline representation. ROBIO 2011: 1047-1052 - [c141]Faez Ahmed, Abhilash Jindal, Kalyanmoy Deb:
Cricket Team Selection Using Evolutionary Multi-objective Optimization. SEMCCO (2) 2011: 71-78 - [c140]Himanshu Jain, Kalyanmoy Deb:
Parent to Mean-Centric Self-Adaptation in SBX Operator for Real-Parameter Optimization. SEMCCO (1) 2011: 299-306 - [p13]Kalyanmoy Deb:
Multi-objective Optimisation Using Evolutionary Algorithms: An Introduction. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing 2011: 3-34 - [p12]Madan Mohan Dabbeeru, Kalyanmoy Deb, Amitabha Mukerjee:
Product Portfolio Selection of Designs Through an Analysis of Lower-Dimensional Manifolds and Identification of Common Properties. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing 2011: 161-187 - [p11]Nikhil Padhye, Kalyanmoy Deb:
Multi-objective Optimisation and Multi-criteria Decision Making for FDM Using Evolutionary Approaches. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing 2011: 219-247 - [p10]Amos H. C. Ng, Catarina Dudas, Johannes Nießen, Kalyanmoy Deb:
Simulation-Based Innovization Using Data Mining for Production Systems Analysis. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing 2011: 401-429 - [e17]Lihui Wang, Amos H. C. Ng, Kalyanmoy Deb:
Multi-objective Evolutionary Optimisation for Product Design and Manufacturing. Springer 2011, ISBN 978-0-85729-617-7 [contents] - [e16]Ricardo H. C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner, Salvatore Greco:
Evolutionary Multi-Criterion Optimization - 6th International Conference, EMO 2011, Ouro Preto, Brazil, April 5-8, 2011. Proceedings. Lecture Notes in Computer Science 6576, Springer 2011, ISBN 978-3-642-19892-2 [contents] - 2010
- [j44]Shamik Chaudhuri, Kalyanmoy Deb:
An interactive evolutionary multi-objective optimization and decision making procedure. Appl. Soft Comput. 10(2): 496-511 (2010) - [j43]Kalyanmoy Deb, Ankur Sinha:
An Efficient and Accurate Solution Methodology for Bilevel Multi-Objective Programming Problems Using a Hybrid Evolutionary-Local-Search Algorithm. Evol. Comput. 18(3): 403-449 (2010) - [j42]Kalyanmoy Deb, Murat Köksalan:
Guest Editorial Special Issue on Preference-Based Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 14(5): 669-670 (2010) - [j41]Kalyanmoy Deb, Ankur Sinha, Pekka J. Korhonen, Jyrki Wallenius:
An Interactive Evolutionary Multiobjective Optimization Method Based on Progressively Approximated Value Functions. IEEE Trans. Evol. Comput. 14(5): 723-739 (2010) - [j40]Kalyanmoy Deb, Kaisa Miettinen, Shamik Chaudhuri:
Toward an Estimation of Nadir Objective Vector Using a Hybrid of Evolutionary and Local Search Approaches. IEEE Trans. Evol. Comput. 14(6): 821-841 (2010) - [c139]Ramnik Arora, Rupesh Tulshyan, Kalyanmoy Deb:
Parallelization of binary and real-coded genetic algorithms on GPU using CUDA. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c138]Sunith Bandaru, Kalyanmoy Deb:
Automated discovery of vital knowledge from Pareto-optimal solutions: First results from engineering design. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c137]Kalyanmoy Deb, Rituparna Datta:
A fast and accurate solution of constrained optimization problems using a hybrid bi-objective and penalty function approach. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c136]Xiaodong Li, Kalyanmoy Deb:
Comparing lbest PSO niching algorithms using different position update rules. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c135]Amit Saha, Rituparna Datta, Kalyanmoy Deb:
Hybrid gradient projection based Genetic Algorithms for constrained optimization. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c134]Ankur Sinha, Kalyanmoy Deb, Pekka J. Korhonen, Jyrki Wallenius:
Progressively interactive evolutionary multi-objective optimization method using generalized polynomial value functions. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c133]Kalyanmoy Deb, Nikhil Padhye:
Development of efficient particle swarm optimizers by using concepts from evolutionary algorithms. GECCO 2010: 55-62 - [c132]Kalyanmoy Deb, Amit Saha:
Finding multiple solutions for multimodal optimization problems using a multi-objective evolutionary approach. GECCO 2010: 447-454 - [c131]Rupesh Tulshyan, Ramnik Arora, Kalyanmoy Deb, Joydeep Dutta:
Investigating EA solutions for approximate KKT conditions in smooth problems. GECCO 2010: 689-696 - [c130]Christie Myburgh, Kalyanmoy Deb:
Evolutionary algorithms in large-scale open pit mine scheduling. GECCO 2010: 1155-1162 - [c129]Nikhil Padhye, Kalyanmoy Deb:
Evolutionary multi-objective optimization and decision making for selective laser sintering. GECCO 2010: 1259-1266 - [c128]Kalyanmoy Deb:
Evolutionary multi-criterion optimization. GECCO (Companion) 2010: 2577-2602 - [c127]Ankur Sinha, Pekka J. Korhonen, Jyrki Wallenius, Kalyanmoy Deb:
An Interactive Evolutionary Multi-objective Optimization Method Based on Polyhedral Cones. LION 2010: 318-332 - [c126]Amit Saha, Kalyanmoy Deb:
A Bi-criterion Approach to Multimodal Optimization: Self-adaptive Approach. SEAL 2010: 95-104 - [c125]Nikhil Padhye, Piyush Bhardawaj, Kalyanmoy Deb:
Improving Differential Evolution by Altering Steps in EC. SEAL 2010: 146-155 - [c124]Rupesh Kumar Srivastava, Kalyanmoy Deb:
Bayesian Reliability Analysis under Incomplete Information Using Evolutionary Algorithms. SEAL 2010: 435-444 - [c123]Cem Celal Tutum, Kalyanmoy Deb, Jesper Henri Hattel:
Hybrid Search for Faster Production and Safer Process Conditions in Friction Stir Welding. SEAL 2010: 603-612 - [c122]Kalyanmoy Deb, Shivam Gupta:
Towards a Link between Knee Solutions and Preferred Solution Methodologies. SEMCCO 2010: 182-189 - [c121]Soumil Srivastava, Kalyanmoy Deb:
A Genetic Algorithm Based Augmented Lagrangian Method for Computationally Fast Constrained Optimization. SEMCCO 2010: 330-337 - [c120]Pawan K. S. Nain, J. M. Giri, S. Sharma, Kalyanmoy Deb:
Multi-objective Performance Optimization of Thermo-Electric Coolers Using Dimensional Structural Parameters. SEMCCO 2010: 607-614 - [p9]Kalyanmoy Deb:
Recent Developments in Evolutionary Multi-Objective Optimization. Trends in Multiple Criteria Decision Analysis 2010: 339-368 - [e15]Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis, Kay Chen Tan:
Simulated Evolution and Learning - 8th International Conference, SEAL 2010, Kanpur, India, December 1-4, 2010. Proceedings. Lecture Notes in Computer Science 6457, Springer 2010, ISBN 978-3-642-17297-7 [contents]
2000 – 2009
- 2009
- [j39]Jürgen Branke, B. Scheckenbach, Michael Stein, Kalyanmoy Deb, Hartmut Schmeck:
Portfolio optimization with an envelope-based multi-objective evolutionary algorithm. Eur. J. Oper. Res. 199(3): 684-693 (2009) - [j38]Shashi Mittal, Kalyanmoy Deb:
Optimal Strategies of the Iterated Prisoner's Dilemma Problem for Multiple Conflicting Objectives. IEEE Trans. Evol. Comput. 13(3): 554-565 (2009) - [j37]Kalyanmoy Deb, Shubham Gupta, David A. Daum, Jürgen Branke, Abhishek Kumar Mall, Dhanesh Padmanabhan:
Reliability-Based Optimization Using Evolutionary Algorithms. IEEE Trans. Evol. Comput. 13(5): 1054-1074 (2009) - [c119]Dhish Kumar Saxena, Tapabrata Ray, Kalyanmoy Deb, Ashutosh Tiwari:
Constrained many-objective optimization: A way forward. IEEE Congress on Evolutionary Computation 2009: 545-552 - [c118]Kalyanmoy Deb, Ankur Sinha:
Constructing test problems for bilevel evolutionary multi-objective optimization. IEEE Congress on Evolutionary Computation 2009: 1153-1160 - [c117]Jose Manuel Cabello, Jose M. Cejudo, Mariano Luque, Francisco Ruiz, Kalyanmoy Deb, Rahul Tewari:
Optimization of the sizing of a solar thermal electricity plant: Mathematical programming versus genetic algorithms. IEEE Congress on Evolutionary Computation 2009: 1193-1200 - [c116]Santosh Tiwari, Georges M. Fadel, Patrick Koch, Kalyanmoy Deb:
Performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on the CEC09 test problems. IEEE Congress on Evolutionary Computation 2009: 1935-1942 - [c115]Karthik Sindhya, Ankur Sinha, Kalyanmoy Deb, Kaisa Miettinen:
Local search based evolutionary multi-objective optimization algorithm for constrained and unconstrained problems. IEEE Congress on Evolutionary Computation 2009: 2919-2926 - [c114]Shyam P. Kodali, Kalyanmoy Deb, Prabhat Munshi, N. N. Kishore:
Comparing GA with MART to tomographic reconstruction of ultrasound images with and without noisy input data. IEEE Congress on Evolutionary Computation 2009: 2963-2970 - [c113]Kalyanmoy Deb, Ankur Sinha:
Solving Bilevel Multi-Objective Optimization Problems Using Evolutionary Algorithms. EMO 2009: 110-124 - [c112]Kalyanmoy Deb, Kaisa Miettinen, Deepak Sharma:
A Hybrid Integrated Multi-Objective Optimization Procedure for Estimating Nadir Point. EMO 2009: 569-583 - [c111]Shyam P. Kodali, Kalyanmoy Deb, Sunith Bandaru, Prabhat Munshi, N. N. Kishore:
Simulation Studies on a Genetic Algorithm Based Tomographic Reconstruction Using Time-of-Flight Data from Ultrasound Transmission Tomography. ICANNGA 2009: 253-262 - [c110]Rituparna Datta, Kalyanmoy Deb:
A Classical-cum-Evolutionary Multi-objective Optimization for Optimal Machining Parameters. NaBIC 2009: 607-612 - [e14]Kalyanmoy Deb, Salvatore Greco, Kaisa Miettinen, Eckart Zitzler:
Hybrid and Robust Approaches to Multiobjective Optimization, 18.01. - 23.01.2009. Dagstuhl Seminar Proceedings 09041, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany 2009 [contents] - [i8]Kalyanmoy Deb, Salvatore Greco, Kaisa Miettinen, Eckart Zitzler:
09041 Summary - Hybrid and Robust Approaches to Multiobjective Optimization. Hybrid and Robust Approaches to Multiobjective Optimization 2009 - [i7]Jörg Fliege, Nicola Beume, Jürgen Branke, Heinrich Braun, Nirupam Chakraborti, Kalyanmoy Deb, Sabine Helwig, Joshua D. Knowles, Martin Middendorf, Sanaz Mostaghim, Silvia Poles, Daniel E. Salazar Aponte, Shukla Pradymn, El-Ghazali Talbi:
09041 Working Group on EMO for Robust Multiobjective Optimization (1st Round). Hybrid and Robust Approaches to Multiobjective Optimization 2009 - [i6]Salvatore Greco, Kalyanmoy Deb, Kaisa Miettinen, Eckart Zitzler:
09041 Abstracts Collection - Hybrid and Robust Approaches to Multiobjective Optimization. Hybrid and Robust Approaches to Multiobjective Optimization 2009 - 2008
- [j36]Kalyanmoy Deb, Santosh Tiwari:
Omni-optimizer: A generic evolutionary algorithm for single and multi-objective optimization. Eur. J. Oper. Res. 185(3): 1062-1087 (2008) - [j35]Lam Thu Bui, Kalyanmoy Deb, Hussein A. Abbass, Daryl Essam:
Interleaving Guidance in Evolutionary Multi-Objective Optimization. J. Comput. Sci. Technol. 23(1): 44-63 (2008) - [j34]Kalyanmoy Deb:
Scope of stationary multi-objective evolutionary optimization: a case study on a hydro-thermal power dispatch problem. J. Glob. Optim. 41(4): 479-515 (2008) - [j33]Jyrki Wallenius, James S. Dyer, Peter C. Fishburn, Ralph E. Steuer, Stanley Zionts, Kalyanmoy Deb:
Multiple Criteria Decision Making, Multiattribute Utility Theory: Recent Accomplishments and What Lies Ahead. Manag. Sci. 54(7): 1336-1349 (2008) - [j32]Dilip Datta, Carlos M. Fonseca, Kalyanmoy Deb:
A multi-objective evolutionary algorithm to exploit the similarities of resource allocation problems. J. Sched. 11(6): 405-419 (2008) - [j31]Sanghamitra Bandyopadhyay, Sriparna Saha, Ujjwal Maulik, Kalyanmoy Deb:
A Simulated Annealing-Based Multiobjective Optimization Algorithm: AMOSA. IEEE Trans. Evol. Comput. 12(3): 269-283 (2008) - [c109]Deepak Sharma, Kalyanmoy Deb, N. N. Kishore:
Towards generating diverse topologies of path tracing compliant mechanisms using a local search based multi-objective genetic algorithm procedure. IEEE Congress on Evolutionary Computation 2008: 2004-2011 - [c108]Kalyanmoy Deb, Karthik Sindhya:
Deciphering innovative principles for optimal electric brushless D.C. permanent magnet motor design. IEEE Congress on Evolutionary Computation 2008: 2283-2290 - [c107]Madan Sathe, Günter Rudolph, Kalyanmoy Deb:
Design and validation of a hybrid interactive reference point method for multi-objective optimization. IEEE Congress on Evolutionary Computation 2008: 2909-2916 - [c106]Dhish Kumar Saxena, Kalyanmoy Deb:
Dimensionality reduction of objectives and constraints in multi-objective optimization problems: A system design perspective. IEEE Congress on Evolutionary Computation 2008: 3204-3211 - [c105]Kalyanmoy Deb:
Introduction to Evolutionary Multiobjective Optimization. Multiobjective Optimization 2008: 59-96 - [c104]Kaisa Miettinen, Kalyanmoy Deb, Johannes Jahn, Wlodzimierz Ogryczak, Koji Shimoyama, Rudolf Vetschera:
Future Challenges. Multiobjective Optimization 2008: 435-461 - [c103]Kalyanmoy Deb:
A robust evolutionary framework for multi-objective optimization. GECCO 2008: 633-640 - [c102]Santosh Tiwari, Patrick Koch, Georges M. Fadel, Kalyanmoy Deb:
AMGA: an archive-based micro genetic algorithm for multi-objective optimization. GECCO 2008: 729-736 - [c101]Anurag Bhatt, Pratul Varshney, Kalyanmoy Deb:
In search of no-loss strategies for the game of tic-tac-toe using a customized genetic algorithm. GECCO 2008: 889-896 - [c100]Shyam P. Kodali, Sunith Bandaru, Kalyanmoy Deb, Prabhat Munshi, N. N. Kishore:
Applicability of genetic algorithms to reconstruction of projected data from ultrasonic tomography. GECCO 2008: 1705-1706 - [c99]Deepak Sharma, Kalyanmoy Deb, N. N. Kishore:
A domain-specific crossover and a helper objective for generating minimum weight compliant mechanisms. GECCO 2008: 1723-1724 - [c98]Eckart Zitzler, Kalyanmoy Deb:
Evolutionary multiobjective optimization. GECCO (Companion) 2008: 2467-2486 - [c97]Kalyanmoy Deb:
Evolutionary practical optimization. GECCO (Companion) 2008: 2487-2516 - [c96]Shyam P. Kodali, Rajesh Kudikala, Kalyanmoy Deb:
Multi-Objective Optimization of Surface Grinding Process Using NSGA II. ICETET 2008: 763-767 - [c95]Elina Madetoja, Henri Ruotsalainen, Veli-Matti Mönkkönen, Jari Hämäläinen, Kalyanmoy Deb:
Visualizing multi-dimensional pareto-optimal fronts with a 3D virtual reality system. IMCSIT 2008: 907-913 - [c94]Kamal Srivastava, Sanjay Srivastava, Bhupendra Kumar Pathak, Kalyanmoy Deb:
Discrete Time-Cost Tradeoff with a Novel Hybrid Meta-Heuristic. MCDM 2008: 177-188 - [c93]Johannes Bader, Kalyanmoy Deb, Eckart Zitzler:
Faster Hypervolume-Based Search Using Monte Carlo Sampling. MCDM 2008: 313-326 - [c92]Kalyanmoy Deb, Kaisa Miettinen:
Nadir Point Estimation Using Evolutionary Approaches: Better Accuracy and Computational Speed Through Focused Search. MCDM 2008: 339-354 - [c91]Karthik Sindhya, Kalyanmoy Deb, Kaisa Miettinen:
A Local Search Based Evolutionary Multi-objective Optimization Approach for Fast and Accurate Convergence. PPSN 2008: 815-824 - [p8]Joshua D. Knowles, David Corne, Kalyanmoy Deb:
Introduction: Problem Solving, EC and EMO. Multiobjective Problem Solving from Nature 2008: 1-28 - [p7]Kalyanmoy Deb, Aravind Srinivasan:
Innovization: Discovery of Innovative Design Principles Through Multiobjective Evolutionary Optimization. Multiobjective Problem Solving from Nature 2008: 243-262 - [p6]Dimo Brockhoff, Dhish Kumar Saxena, Kalyanmoy Deb, Eckart Zitzler:
On Handling a Large Number of Objectives A Posteriori and During Optimization. Multiobjective Problem Solving from Nature 2008: 377-403 - [e13]Joshua D. Knowles, David Corne, Kalyanmoy Deb:
Multiobjective Problem Solving from Nature. Natural Computing Series, Springer 2008, ISBN 978-3-540-72963-1 [contents] - [e12]Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, Roman Slowinski:
Multiobjective Optimization, Interactive and Evolutionary Approaches [outcome of Dagstuhl seminars]. Lecture Notes in Computer Science 5252, Springer 2008, ISBN 978-3-540-88907-6 [contents] - [e11]Xiaodong Li, Michael Kirley, Mengjie Zhang, David G. Green, Victor Ciesielski, Hussein A. Abbass, Zbigniew Michalewicz, Tim Hendtlass, Kalyanmoy Deb, Kay Chen Tan, Jürgen Branke, Yuhui Shi:
Simulated Evolution and Learning, 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008. Proceedings. Lecture Notes in Computer Science 5361, Springer 2008, ISBN 978-3-540-89693-7 [contents] - 2007
- [j30]Pradyumn Kumar Shukla, Kalyanmoy Deb:
On finding multiple Pareto-optimal solutions using classical and evolutionary generating methods. Eur. J. Oper. Res. 181(3): 1630-1652 (2007) - [c90]Ashish Anand, Ponnuthurai N. Suganthan, Kalyanmoy Deb:
A novel fuzzy and multiobjective evolutionary algorithm based gene assignment for clustering short time series expression data. IEEE Congress on Evolutionary Computation 2007: 297-304 - [c89]David A. Daum, Kalyanmoy Deb, Jürgen Branke:
Reliability-based optimization for multiple constraints with evolutionary algorithms. IEEE Congress on Evolutionary Computation 2007: 911-918 - [c88]Dhish Kumar Saxena, Kalyanmoy Deb:
Trading on infeasibility by exploiting constraint's criticality through multi-objectivization: A system design perspective. IEEE Congress on Evolutionary Computation 2007: 919-926 - [c87]Gideon Avigad, Kalyanmoy Deb:
The sequential optimization-constraint multi-objective problem and its applications for robust planning of robot paths. IEEE Congress on Evolutionary Computation 2007: 2101-2108 - [c86]Kalyanmoy Deb, Rahul Tewari, Mayur Dixit, Joydeep Dutta:
Finding trade-off solutions close to KKT points using evolutionary multi-objective optimization. IEEE Congress on Evolutionary Computation 2007: 2109-2116 - [c85]Kalyanmoy Deb, Abhay Kumar:
Light beam search based multi-objective optimization using evolutionary algorithms. IEEE Congress on Evolutionary Computation 2007: 2125-2132 - [c84]Deepak Sharma, Abhay Kumar, Kalyanmoy Deb, Karthik Sindhya:
Hybridization of SBX based NSGA-II and sequential quadratic programming for solving multi-objective optimization problems. IEEE Congress on Evolutionary Computation 2007: 3003-3010 - [c83]Abhay Kumar, Deepak Sharma, Kalyanmoy Deb:
A hybrid multi-objective optimization procedure using PCX based NSGA-II and sequential quadratic programming. IEEE Congress on Evolutionary Computation 2007: 3011-3018 - [c82]Aaron Garrett, Gerry V. Dozier, Kalyanmoy Deb:
NEMO: neural enhancement for multiobjective optimization. IEEE Congress on Evolutionary Computation 2007: 3108-3113 - [c81]Shashi Mittal, Kalyanmoy Deb:
Three-dimensional offline path planning for UAVs using multiobjective evolutionary algorithms. IEEE Congress on Evolutionary Computation 2007: 3195-3202 - [c80]Kalyanmoy Deb, Dhanesh Padmanabhan, Sulabh Gupta, Abhishek Kumar Mall:
Reliability-Based Multi-objective Optimization Using Evolutionary Algorithms. EMO 2007: 66-80 - [c79]Dilip Datta, Kalyanmoy Deb, Carlos M. Fonseca:
Multi-objective Evolutionary Algorithms for Resource Allocation Problems. EMO 2007: 401-416 - [c78]Dhish Kumar Saxena, Kalyanmoy Deb:
Non-linear Dimensionality Reduction Procedures for Certain Large-Dimensional Multi-objective Optimization Problems: Employing Correntropy and a Novel Maximum Variance Unfolding. EMO 2007: 772-787 - [c77]Kalyanmoy Deb, Shamik Chaudhuri:
I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods. EMO 2007: 788-802 - [c76]Kalyanmoy Deb, Udaya Bhaskara Rao N., S. Karthik:
Dynamic Multi-objective Optimization and Decision-Making Using Modified NSGA-II: A Case Study on Hydro-thermal Power Scheduling. EMO 2007: 803-817 - [c75]Kalyanmoy Deb, Abhishek Kumar:
Interactive evolutionary multi-objective optimization and decision-making using reference direction method. GECCO 2007: 781-788 - [c74]Kalyanmoy Deb, Karthik Sindhya, Tatsuya Okabe:
Self-adaptive simulated binary crossover for real-parameter optimization. GECCO 2007: 1187-1194 - [c73]Kalyanmoy Deb:
Evolutionary practical optimization. GECCO (Companion) 2007: 3093-3132 - [c72]Eckart Zitzler, Kalyanmoy Deb:
Evolutionary multiobjective optimization. GECCO (Companion) 2007: 3792-3809 - [c71]Kalyanmoy Deb, Nikhil Padhye, Ganesh Neema:
Interplanetary Trajectory Optimization with Swing-Bys Using Evolutionary Multi-objective Optimization. ISICA 2007: 26-35 - [c70]Kalyanmoy Deb, Swanand Lele, Rituparna Datta:
A Hybrid Evolutionary Multi-objective and SQP Based Procedure for Constrained Optimization. ISICA 2007: 36-45 - [p5]Kalyanmoy Deb, Abbadi Raji Reddy, Shamik Chaudhuri:
A Reliable Classification of Gene Clusters for Cancer Samples Using a Hybrid Multi-Objective Evolutionary Procedure. Analysis of Biological Data: A Soft Computing Approach 2007: 231-257 - [p4]Dilip Datta, Kalyanmoy Deb, Carlos M. Fonseca:
Multi-Objective Evolutionary Algorithm for University Class Timetabling Problem. Evolutionary Scheduling 2007: 197-236 - [p3]Kalyanmoy Deb:
Evolutionary Multi-Objective Optimization Without Additional Parameters. Parameter Setting in Evolutionary Algorithms 2007: 241-257 - [p2]Kalyanmoy Deb, Pawan K. S. Nain:
An Evolutionary Multi-objective Adaptive Meta-modeling Procedure Using Artificial Neural Networks. Evolutionary Computation in Dynamic and Uncertain Environments 2007: 297-322 - [e10]Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, Roman Slowinski:
Practical Approaches to Multi-Objective Optimization, 10.12. - 15.12.2006. Dagstuhl Seminar Proceedings 06501, Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2007 [contents] - [e9]Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu, Tadahiko Murata:
Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007, Proceedings. Lecture Notes in Computer Science 4403, Springer 2007, ISBN 3-540-70927-4 [contents] - 2006
- [j29]Kalyanmoy Deb, Himanshu Gupta:
Introducing Robustness in Multi-Objective Optimization. Evol. Comput. 14(4): 463-494 (2006) - [c69]Ankur Sinha, Aravind Srinivasan, Kalyanmoy Deb:
A Population-Based, Parent Centric Procedure for Constrained Real-Parameter Optimization. IEEE Congress on Evolutionary Computation 2006: 239-245 - [c68]Robert T. F. Ah King, Harry C. S. Rughooputh, Kalyanmoy Deb:
Stochastic Evolutionary Multiobjective Environmental/Economic Dispatch. IEEE Congress on Evolutionary Computation 2006: 946-953 - [c67]Saku Kukkonen, Kalyanmoy Deb:
Improved Pruning of Non-Dominated Solutions Based on Crowding Distance for Bi-Objective Optimization Problems. IEEE Congress on Evolutionary Computation 2006: 1179-1186 - [c66]Priyendra S. Deshwal, Kalyanmoy Deb:
Ergonomic Design of an Optimal Hindi Keyboard for Convenient Use. IEEE Congress on Evolutionary Computation 2006: 2187-2194 - [c65]Shashi Mittal, Kalyanmoy Deb:
Optimal Strategies of the Iterated Prisoner's Dilemma Problem for Multiple Conflicting Objectives. CIG 2006: 197-204 - [c64]Kalyanmoy Deb, J. Sundar:
Reference point based multi-objective optimization using evolutionary algorithms. GECCO 2006: 635-642 - [c63]Kalyanmoy Deb, Shamik Chaudhuri, Kaisa Miettinen:
Towards estimating nadir objective vector using evolutionary approaches. GECCO 2006: 643-650 - [c62]Kalyanmoy Deb, Ankur Sinha, Saku Kukkonen:
Multi-objective test problems, linkages, and evolutionary methodologies. GECCO 2006: 1141-1148 - [c61]Gulshan Singh, Kalyanmoy Deb:
Comparison of multi-modal optimization algorithms based on evolutionary algorithms. GECCO 2006: 1305-1312 - [c60]Kalyanmoy Deb, Aravind Srinivasan:
Innovization: innovating design principles through optimization. GECCO 2006: 1629-1636 - [c59]Saku Kukkonen, Kalyanmoy Deb:
A Fast and Effective Method for Pruning of Non-dominated Solutions in Many-Objective Problems. PPSN 2006: 553-562 - [c58]Lam Thu Bui, Kalyanmoy Deb, Hussein A. Abbass, Daryl Essam:
Dual Guidance in Evolutionary Multi-objective Optimization by Localization. SEAL 2006: 384-391 - [c57]Vipin K. Tripathi, Bhaskar Dasgupta, Kalyanmoy Deb:
A Computational Method for Viewing Molecular Interactions in Docking. VIEW 2006: 152-163 - [i5]Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, Roman Slowinski:
06501 Abstracts Collection - Practical Approaches to Multi-Objective Optimization. Practical Approaches to Multi-Objective Optimization 2006 - 2005
- [j28]Kalyanmoy Deb, Manikanth Mohan, Shikhar Mishra:
Evaluating the epsilon-Domination Based Multi-Objective Evolutionary Algorithm for a Quick Computation of Pareto-Optimal Solutions. Evol. Comput. 13(4): 501-525 (2005) - [j27]Kalyanmoy Deb:
A population-based algorithm-generator for real-parameter optimization. Soft Comput. 9(4): 236-253 (2005) - [c56]Himanshu Gupta, Kalyanmoy Deb:
Handling constraints in robust multi-objective optimization. Congress on Evolutionary Computation 2005: 25-32 - [c55]Ankur Sinha, Santosh Tiwari, Kalyanmoy Deb:
A population-based, steady-state procedure for real-parameter optimization. Congress on Evolutionary Computation 2005: 514-521 - [c54]Kalyanmoy Deb, Santosh Tiwari:
Omni-optimizer: A Procedure for Single and Multi-objective Optimization. EMO 2005: 47-61 - [c53]Kalyanmoy Deb, Himanshu Gupta:
Searching for Robust Pareto-Optimal Solutions in Multi-objective Optimization. EMO 2005: 150-164 - [c52]Pradyumn Kumar Shukla, Kalyanmoy Deb, Santosh Tiwari:
Comparing Classical Generating Methods with an Evolutionary Multi-objective Optimization Method. EMO 2005: 311-325 - [c51]Robert T. F. Ah King, Harry C. S. Rughooputh, Kalyanmoy Deb:
Evolutionary Multi-objective Environmental/Economic Dispatch: Stochastic Versus Deterministic Approaches. EMO 2005: 677-691 - [c50]Kalyanmoy Deb, Shamik Chaudhuri:
I-EMO: An Interactive Evolutionary Multi-objective Optimization Tool. PReMI 2005: 690-695 - [c49]Jane-Jing Liang, Ponnuthurai Nagaratnam Suganthan, Kalyanmoy Deb:
Novel composition test functions for numerical global optimization. SIS 2005: 68-75 - [p1]Kalyanmoy Deb, Lothar Thiele, Marco Laumanns, Eckart Zitzler:
Scalable Test Problems for Evolutionary Multiobjective Optimization. Evolutionary Multiobjective Optimization 2005: 105-145 - [e8]Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, Ralph E. Steuer:
Practical Approaches to Multi-Objective Optimization, 7.-12. November 2004. Dagstuhl Seminar Proceedings 04461, IBFI, Schloss Dagstuhl, Germany 2005 [contents] - [i4]Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, Ralph E. Steuer:
04461 Summary - Practical Approaches to Multi-Criterion Optimization. Practical Approaches to Multi-Objective Optimization 2005 - [i3]Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, Ralph E. Steuer:
04461 Abstracts Collection - Practical Approaches to Multi-Objective Optimization. Practical Approaches to Multi-Objective Optimization 2005 - [i2]Kalyanmoy Deb:
A Tutorial on Evolutionary Multi-Objective Optimization (EMO). Practical Approaches to Multi-Objective Optimization 2005 - [i1]Pradyumn Kumar Shukla, Joydeep Dutta, Kalyanmoy Deb:
On Properly Pareto Optimal Solutions. Practical Approaches to Multi-Objective Optimization 2005 - 2004
- [j26]Marco Farina, Kalyanmoy Deb, Paolo Amato:
Dynamic multiobjective optimization problems: test cases, approximations, and applications. IEEE Trans. Evol. Comput. 8(5): 425-442 (2004) - [c48]Jürgen Branke, Hartmut Schmeck, Kalyanmoy Deb, Reddy S. Maheshwar:
Parallelizing multi-objective evolutionary algorithms: cone separation. IEEE Congress on Evolutionary Computation 2004: 1952-1957 - [c47]Stanley Y. M. Shi, Ponnuthurai N. Suganthan, Kalyanmoy Deb:
Multiclass protein fold recognition using multiobjective evolutionary algorithms. CIBCB 2004: 61-66 - [c46]Kalyanmoy Deb, Kishalay Mitra, Rinku Dewri, Saptarshi Majumdar:
Unveiling Optimal Operating Conditions for an Epoxy Polymerization Process Using Multi-objective Evolutionary Computation. GECCO (2) 2004: 920-931 - [c45]Kalyanmoy Deb, Naveen Kumar Gupta:
Optimal Operating Conditions for Overhead Crane Maneuvering Using Multi-objective Evolutionary Algorithms. GECCO (1) 2004: 1042-1053 - [c44]Kalyanmoy Deb, Koushik Pal:
Efficiently Solving: A Large-Scale Integer Linear Program Using a Customized Genetic Algorithm. GECCO (1) 2004: 1054-1065 - [c43]Jürgen Branke, Kalyanmoy Deb, Henning Dierolf, Matthias Osswald:
Finding Knees in Multi-objective Optimization. PPSN 2004: 722-731 - [e7]Kalyanmoy Deb, Riccardo Poli, Wolfgang Banzhaf, Hans-Georg Beyer, Edmund K. Burke, Paul J. Darwen, Dipankar Dasgupta, Dario Floreano, James A. Foster, Mark Harman, Owen Holland, Pier Luca Lanzi, Lee Spector, Andrea Tettamanzi, Dirk Thierens, Andrew M. Tyrrell:
Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004, Proceedings, Part I. Lecture Notes in Computer Science 3102, Springer 2004, ISBN 3-540-22344-4 [contents] - [e6]Kalyanmoy Deb, Riccardo Poli, Wolfgang Banzhaf, Hans-Georg Beyer, Edmund K. Burke, Paul J. Darwen, Dipankar Dasgupta, Dario Floreano, James A. Foster, Mark Harman, Owen Holland, Pier Luca Lanzi, Lee Spector, Andrea Tettamanzi, Dirk Thierens, Andrew M. Tyrrell:
Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004, Proceedings, Part II. Lecture Notes in Computer Science 3103, Springer 2004, ISBN 3-540-22343-6 [contents] - 2003
- [c42]Kalyanmoy Deb, Abbadi Raji Reddy:
Large-Scale Scheduling of Casting Sequences Using a Customized Genetic Algorithm. Artificial Evolution 2003: 141-152 - [c41]Pawan K. S. Nain, Kalyanmoy Deb:
Computationally effective search and optimization procedure using coarse to fine approximations. IEEE Congress on Evolutionary Computation 2003: 2081-2088 - [c40]Kalyanmoy Deb, Manikanth Mohan, Shikhar Mishra:
Towards a Quick Computation of Well-Spread Pareto-Optimal Solutions. EMO 2003: 222-236 - [c39]Marco Farina, Kalyanmoy Deb, Paolo Amato:
Dynamic Multiobjective Optimization Problems: Test Cases, Approximation, and Applications. EMO 2003: 311-326 - [c38]Vineet R. Khare, Xin Yao, Kalyanmoy Deb:
Performance Scaling of Multi-objective Evolutionary Algorithms. EMO 2003: 376-390 - [c37]Hussein A. Abbass, Kalyanmoy Deb:
Searching under Multi-evolutionary Pressures. EMO 2003: 391-404 - [c36]Kalyanmoy Deb, Pawan Zope, Abhishek Jain:
Distributed Computing of Pareto-Optimal Solutions with Evolutionary Algorithms. EMO 2003: 534-549 - [c35]Abbadi Raji Reddy, Kalyanmoy Deb:
Identification of Multiple Gene Subsets Using Multi-objective Evolutionary Algorithms. EMO 2003: 623-637 - [e5]Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele:
Evolutionary Multi-Criterion Optimization, Second International Conference, EMO 2003, Faro, Portugal, April 8-11, 2003, Proceedings. Lecture Notes in Computer Science 2632, Springer 2003, ISBN 3-540-01869-7 [contents] - [e4]Erick Cantú-Paz, James A. Foster, Kalyanmoy Deb, Lawrence Davis, Rajkumar Roy, Una-May O'Reilly, Hans-Georg Beyer, Russell K. Standish, Graham Kendall, Stewart W. Wilson, Mark Harman, Joachim Wegener, Dipankar Dasgupta, Mitchell A. Potter, Alan C. Schultz, Kathryn A. Dowsland, Natasa Jonoska, Julian F. Miller:
Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part I. Lecture Notes in Computer Science 2723, Springer 2003, ISBN 3-540-40602-6 [contents] - [e3]Erick Cantú-Paz, James A. Foster, Kalyanmoy Deb, Lawrence Davis, Rajkumar Roy, Una-May O'Reilly, Hans-Georg Beyer, Russell K. Standish, Graham Kendall, Stewart W. Wilson, Mark Harman, Joachim Wegener, Dipankar Dasgupta, Mitchell A. Potter, Alan C. Schultz, Kathryn A. Dowsland, Natasa Jonoska, Julian F. Miller:
Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part II. Lecture Notes in Computer Science 2724, Springer 2003, ISBN 3-540-40603-4 [contents] - 2002
- [j25]Marco Laumanns, Lothar Thiele, Kalyanmoy Deb, Eckart Zitzler:
Combining Convergence and Diversity in Evolutionary Multiobjective Optimization. Evol. Comput. 10(3): 263-282 (2002) - [j24]Kalyanmoy Deb, Ashish Anand, Dhiraj Joshi:
A Computationally Efficient Evolutionary Algorithm for Real-Parameter Optimization. Evol. Comput. 10(4): 345-369 (2002) - [j23]Dilip Kumar Pratihar, Kalyanmoy Deb, Amitabha Ghosh:
Optimal path and gait generations simultaneously of a six-legged robot using a GA-fuzzy approach. Robotics Auton. Syst. 41(1): 1-20 (2002) - [j22]Kalyanmoy Deb, Samir Agrawal, Amrit Pratap, T. Meyarivan:
A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2): 182-197 (2002) - [c34]Akshay Mohan, Kalyanmoy Deb:
Genetic-Fuzzy Approach in Robot Motion Planning Revisited: Rigorous Testing and towards an Implementation. AFSS 2002: 414-420 - [c33]Kalyanmoy Deb, Lothar Thiele, Marco Laumanns, Eckart Zitzler:
Scalable multi-objective optimization test problems. IEEE Congress on Evolutionary Computation 2002: 825-830 - [c32]Fernando Jiménez, Antonio F. Skarmeta-Gómez, Gracia Sánchez, Kalyanmoy Deb:
An evolutionary algorithm for constrained multi-objective optimization. IEEE Congress on Evolutionary Computation 2002: 1133-1138 - [c31]Marco Laumanns, Lothar Thiele, Eckart Zitzler, Kalyanmoy Deb:
Archiving With Guaranteed Convergence And Diversity In Multi-objective Optimization. GECCO 2002: 439-447 - [c30]Marco Laumanns, Lothar Thiele, Eckart Zitzler, Emo Welzl, Kalyanmoy Deb:
Running Time Analysis of Multi-objective Evolutionary Algorithms on a Simple Discrete Optimization Problem. PPSN 2002: 44-53 - [c29]Kalyanmoy Deb, Sachin Jain:
Evaluating Evolutionary Multi-objective Optimization Algorithms using Running Performance Metrics. SEAL 2002: 307-326 - 2001
- [b1]Kalyanmoy Deb:
Multi-objective optimization using evolutionary algorithms. Wiley-Interscience series in systems and optimization, Wiley 2001, ISBN 978-0-471-87339-6, pp. I-XIX, 1-497 - [j21]Kalyanmoy Deb, Hans-Georg Beyer:
Self-Adaptive Genetic Algorithms with Simulated Binary Crossover. Evol. Comput. 9(2): 197-221 (2001) - [j20]Kalyanmoy Deb:
Nonlinear goal programming using multi-objective genetic algorithms. J. Oper. Res. Soc. 52(3): 291-302 (2001) - [j19]Hans-Georg Beyer, Kalyanmoy Deb:
On self-adaptive features in real-parameter evolutionary algorithms. IEEE Trans. Evol. Comput. 5(3): 250-270 (2001) - [c28]Kalyanmoy Deb, Tushar Goel:
Controlled Elitist Non-dominated Sorting Genetic Algorithms for Better Convergence. EMO 2001: 67-81 - [c27]Kalyanmoy Deb, Amrit Pratap, T. Meyarivan:
Constrained Test Problems for Multi-objective Evolutionary Optimization. EMO 2001: 284-298 - [c26]Kalyanmoy Deb, Tushar Goel:
A Hybrid Multi-objective Evolutionary Approach to Engineering Shape Design. EMO 2001: 385-399 - [e2]Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, David Corne:
Evolutionary Multi-Criterion Optimization, First International Conference, EMO 2001, Zurich, Switzerland, March 7-9, 2001, Proceedings. Lecture Notes in Computer Science 1993, Springer 2001, ISBN 3-540-41745-1 [contents] - 2000
- [j18]Dilip Kumar Pratihar, Kalyanmoy Deb, Amitabha Ghosh:
Optimal turning gait of a six-legged robot using a GA-fuzzy approach. Artif. Intell. Eng. Des. Anal. Manuf. 14(3): 207-219 (2000) - [j17]Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele:
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results. Evol. Comput. 8(2): 173-195 (2000) - [j16]Zbigniew Michalewicz, Kalyanmoy Deb, Martin Schmidt, Thomas R. Stidsen:
Test-case generator for nonlinear continuous parameter optimization techniques. IEEE Trans. Evol. Comput. 4(3): 197-215 (2000) - [c25]Hans-Georg Beyer, Kalyanmoy Deb:
On the Desired Behaviors of Self-Adaptive Evolutionary Algorithms. PPSN 2000: 59-68 - [c24]Kalyanmoy Deb, Samir Agrawal, Amrit Pratap, T. Meyarivan:
A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II. PPSN 2000: 849-858 - [c23]Kalyanmoy Deb, Amrit Pratap, Subrajyoti Moitra:
Mechanical Component Design for Multiple Objectives Using Elitist Non-dominated Sorting GA. PPSN 2000: 859-868 - [e1]Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, Xin Yao, Evelyne Lutton, Juan Julián Merelo Guervós, Hans-Paul Schwefel:
Parallel Problem Solving from Nature - PPSN VI, 6th International Conference, Paris, France, September 18-20, 2000, Proceedings. Lecture Notes in Computer Science 1917, Springer 2000, ISBN 3-540-41056-2 [contents]
1990 – 1999
- 1999
- [j15]Kalyanmoy Deb:
Multi-objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems. Evol. Comput. 7(3): 205-230 (1999) - [j14]Dilip Kumar Pratihar, Kalyanmoy Deb, Amitabha Ghosh:
A genetic-fuzzy approach for mobile robot navigation among moving obstacles. Int. J. Approx. Reason. 20(2): 145-172 (1999) - [j13]John R. Koza, Wolfgang Banzhaf, Kumar Chellapilla, Kalyanmoy Deb, Marco Dorigo, David B. Fogel, Max H. Garzon, David E. Goldberg, Hitoshi Iba, Rick L. Riolo:
Genetic Programming 1998: Proceedings of the Third Annual Conference. IEEE Trans. Evol. Comput. 3(2): 159-161 (1999) - [c22]Kalyanmoy Deb:
Solving goal programming problems using multi-objective genetic algorithms. CEC 1999: 77-84 - [c21]Dilip Kumar Pratihar, Kalyanmoy Deb, Amitabha Ghosh:
Fuzzy-genetic algorithms and mobile robot navigation among static obstacles. CEC 1999: 327-334 - [c20]Zbigniew Michalewicz, Kalyanmoy Deb, Martin Schmidt, Thomas J. R. Stidsen:
Towards understanding constraint-handling methods in evolutionary algorithms. CEC 1999: 581-588 - [c19]Ahmet Irfan Oyman, Kalyanmoy Deb, Hans-Georg Beyer:
An alternative constraint handling method for evolution strategies. CEC 1999: 612-622 - [c18]Samarjit Chakraborty, Sudipta Dey, Kalyanmoy Deb:
Model-Based Object Recognition from a Complex Binary Imagery Using Genetic Algorithm. EvoWorkshops 1999: 150-161 - [c17]Kalyanmoy Deb:
Construction of Test Problems for Multi-Objective Optimization. GECCO 1999: 164-171 - [c16]Kalyanmoy Deb, Hans-Georg Beyer:
Self-Adaptation in Real-Parameter Genetic Algorithms with Simulated Binary Crossover. GECCO 1999: 172-179 - [c15]Kalyanmoy Deb, Samir Agrawal:
A Niched-Penalty Approach for Constraint Handling in Genetic Algorithms. ICANNGA 1999: 235-243 - 1998
- [j12]Kalyanmoy Deb, Partha Chakroborty:
Time Scheduling of Transit Systems With Transfer Considerations Using Genetic Algorithms. Evol. Comput. 6(1): 1-24 (1998) - [c14]Kalyanmoy Deb, Samir Agrawal:
Understanding Interactions among Genetic Algorithm Parameters. FOGA 1998: 265-286 - [c13]Samarjit Chakraborty, Kalyanmoy Deb:
Analytic Curve Detection from a Noisy Binary Edge Map Using Genetic Algorithm. PPSN 1998: 129-138 - [c12]Kalyanmoy Deb, Dilip Kumar Pratihar, Amitabha Ghosh:
Learning to Avoid Moving Obstacles Optimally for Mobile Robots Using a Genetic-Fuzzy Approach. PPSN 1998: 583-592 - 1997
- [c11]Kalyanmoy Deb, Mayank Goyal:
Optimizing Engineering Designs Using a Combined Genetic Search. ICGA 1997: 521-528 - [c10]Kalyanmoy Deb, Vikas Saxena:
Car Suspension Design for Comfort Using Genetic Algorithm. ICGA 1997: 553-560 - 1996
- [j11]Uday Kumar Chakraborty, Kalyanmoy Deb, Mandira Chakraborty:
Analysis of Selection Algorithms: A Markov Chain Approach. Evol. Comput. 4(2): 133-167 (1996) - 1995
- [j10]Kalyanmoy Deb, Ram Bhushan Agrawal:
Simulated Binary Crossover for Continuous Search Space. Complex Syst. 9(2) (1995) - [j9]Kalyanmoy Deb, Amarendra Kumar:
Real-coded Genetic Algorithms with Simulated Binary Crossover: Studies on Multimodal and Multiobjective Problems. Complex Syst. 9(6) (1995) - 1994
- [j8]Jeffrey Horn, David E. Goldberg, Kalyanmoy Deb:
Implicit Niching in a Learning Classifier System: Nature's Way. Evol. Comput. 2(1): 37-66 (1994) - [j7]N. Srinivas, Kalyanmoy Deb:
Multiobjective Optimization Using Nondominated Sorting in Genetic Algorithms. Evol. Comput. 2(3): 221-248 (1994) - [c9]Jeffrey Horn, David E. Goldberg, Kalyanmoy Deb:
Long Path Problems. PPSN 1994: 149-158 - 1993
- [j6]Kalyanmoy Deb, David E. Goldberg:
Sufficient Conditions for Deceptive and Easy Binary Functions. Ann. Math. Artif. Intell. 10(4): 385-408 (1993) - [j5]Kalyanmoy Deb, Jeffrey Horn, David E. Goldberg:
Multimodal Deceptive Functions. Complex Syst. 7(2) (1993) - [c8]David E. Goldberg, Kalyanmoy Deb, Hillol Kargupta, Georges R. Harik:
RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms. ICGA 1993: 56-64 - 1992
- [j4]David E. Goldberg, Kalyanmoy Deb, James H. Clark:
Genetic Algorithms, Noise, and the Sizing of Populations. Complex Syst. 6(4) (1992) - [c7]Kalyanmoy Deb, David E. Goldberg:
Analyzing Deception in Trap Functions. FOGA 1992: 93-108 - [c6]David E. Goldberg, Kalyanmoy Deb, James H. Clark:
Accounting for Noise in the Sizing of Populations. FOGA 1992: 127-140 - [c5]David E. Goldberg, Kalyanmoy Deb, Jeffrey Horn:
Massive Multimodality, Deception, and Genetic Algorithms. PPSN 1992: 37-48 - [c4]Hillol Kargupta, Kalyanmoy Deb, David E. Goldberg:
Ordering Genetic Algorithms and Deception. PPSN 1992: 49-58 - 1991
- [j3]Stan Franklin, Max H. Garzon, David E. Goldberg, Bradley Korb, Kalyanmoy Deb, Francesca Aicardi, Andrzej Lech Kawczynski, Wentian Li, Norman H. Packard, David Saad, Emanuel Marom:
Complex Systems: Errata and Changes Volumes 3 and 4. Complex Syst. 5(1) (1991) - [c3]David E. Goldberg, Kalyanmoy Deb, Bradley Korb:
Don't Worry, Be Messy. ICGA 1991: 24-30 - 1990
- [j2]David E. Goldberg, Kalyanmoy Deb, Bradley Korb:
Messy Genetic Algorithms Revisited: Studies in Mixed Size and Scale. Complex Syst. 4(4) (1990) - [c2]David E. Goldberg, Kalyanmoy Deb:
A Comparative Analysis of Selection Schemes Used in Genetic Algorithms. FOGA 1990: 69-93
1980 – 1989
- 1989
- [j1]David E. Goldberg, Bradley Korb, Kalyanmoy Deb:
Messy Genetic Algorithms: Motivation, Analysis, and First Results. Complex Syst. 3(5) (1989) - [c1]Kalyanmoy Deb, David E. Goldberg:
An Investigation of Niche and Species Formation in Genetic Function Optimization. ICGA 1989: 42-50
Coauthor Index
Vishnu Naresh Boddeti
aka: Vishnu Boddeti
aka: Vishnu Boddeti
Flávio V. C. Martins
aka: Flávio Vinícius Cruzeiro Martins
aka: Flávio Vinícius Cruzeiro Martins
Haitham Seada
aka: Haitham Ahmed Seada
aka: Haitham Ahmed Seada
[c339] [j141] [j131] [j122] [j114] [c275] [c271] [j108] [j105] [c258] [c241] [p17] [i16] [j85] [c235] [c234] [c221] [c216] [c213] [c212] [c198] [j70] [j69] [j68] [c193] [c188] [c187] [i12] [j61] [c182] [c173] [i11] [i10] [i9] [c161] [c160] [j43] [j41] [c134] [c127] [c118] [c115] [c113] [c69] [c62] [c55]
Elizabeth F. Wanner
aka: Elizabeth Fialho Wanner
aka: Elizabeth Fialho Wanner
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-13 23:50 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
