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ORCIDCEC 2014: Beijing, China
- Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2014, Beijing, China, July 6-11, 2014. IEEE 2014, ISBN 978-1-4799-1488-3
Special Session: MoE1-1 Computational Intelligence and Games
- Geoffrey Lee, Min Luo, Fabio Zambetta
, Xiaodong Li:
Learning a Super Mario controller from examples of human play. 1-8 - Tung Duc Nguyen, Kien Quang Nguyen, Ruck Thawonmas:
Integrating fuzzy integral and heuristic search for unit micromanagement in RTS games. 9-12 - Daniel A. Ashlock, Philip Hingston:
∗Tego - A framework for adversarial planning. 13-20 - Marco Gaudesi, Elio Piccolo, Giovanni Squillero, Alberto Paolo Tonda:
TURAN: Evolving non-deterministic players for the iterated prisoner's dilemma. 21-27 - Andrew R. Buck, Tanvi Banerjee, James M. Keller:
Evolving a fuzzy goal-driven strategy for the game of Geister: An exercise in teaching computational intelligence. 28-35 - Hisashi Handa:
Deep Boltzmann Machine for evolutionary agents of Mario AI. 36-41
Special Session: MoE1-2 Memetic Computing
- Humyun Fuad Rahman, Ruhul A. Sarker, Daryl Essam, Guijuan Chang:
A memetic algorithm for solving permutation flow shop problems with known and unknown machine breakdowns. 42-49 - Ailong Ma, Yanfei Zhong, Liangpei Zhang:
Remote sensing imagery clustering using an adaptive bi-objective memetic method. 50-57 - Jingjing Ma, Yu Lei, Zhao Wang, Licheng Jiao, Ruochen Liu:
A memetic algorithm based on Immune multi-objective optimization for flexible job-shop scheduling problems. 58-65 - Wenping Ma, Yi Zuo, Jiulin Zeng, Shuang Liang, Licheng Jiao:
A memetic algorithm for solving flexible Job-Shop Scheduling Problems. 66-73 - Kuai Wei, Michael J. Dinneen:
Hybridizing the dynamic mutation approach with local searches to overcome local optima. 74-81 - Can Liu, Bin Li:
Memetic algorithm with adaptive local search depth for large scale global optimization. 82-88
Special Session: MoE1-3 Evolutionary Computer Vision
- Wissam A. Albukhanajer, Yaochu Jin, Johann A. Briffa:
Neural network ensembles for image identification using Pareto-optimal features. 89-96 - Andrea Valsecchi, Pablo Mesejo, Linda Marrakchi-Kacem, Stefano Cagnoni, Sergio Damas:
Automatic evolutionary medical image segmentation using deformable models. 97-104 - Gerald Schaefer, Bartosz Krawczyk, Niraj P. Doshi, Tomoharu Nakashima:
Cost-sensitive texture classification. 105-108 - Syed Saud Naqvi, Will N. Browne, Christopher Hollitt:
Genetic algorithms based feature combination for salient object detection, for autonomously identified image domain types. 109-116 - Wenlong Fu, Mark Johnston, Mengjie Zhang:
Unsupervised learning for edge detection using Genetic Programming. 117-124
Special Session: MoE1-4 Theoretical Foundations of Bio-inspired Computation
- Markus Wagner, Frank Neumann:
Single- and multi-objective genetic programming: New runtime results for sorting. 125-132 - Kuai Wei, Michael J. Dinneen:
Runtime analysis comparison of two fitness functions on a memetic algorithm for the Clique Problem. 133-140 - Jun He, Boris Mitavskiy, Yuren Zhou:
A theoretical assessment of solution quality in evolutionary algorithms for the knapsack problem. 141-148 - Yang Yu, Hong Qian:
The sampling-and-learning framework: A statistical view of evolutionary algorithms. 149-158 - Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen:
Markov chain analysis of evolution strategies on a linear constraint optimization problem. 159-166 - Tom Everitt, Tor Lattimore, Marcus Hutter:
Free Lunch for optimisation under the universal distribution. 167-174
Poster Session: PE1 Poster Session I
- Nancy Arana-Daniel, Alberto A. Gallegos, Carlos López-Franco, Alma Y. Alanis:
Smooth global and local path planning for mobile robot using particle swarm optimization, radial basis functions, splines and Bézier curves. 175-182 - Lin Wang, Bo Yang, Yi Li, Na Zhang:
A novel improvement of particle swarm optimization using Dual Factors strategy. 183-189 - Tao Xiang, Weimin Zhang, Fei Chen:
A verifiable PSO algorithm in cloud computing. 190-193 - Xinlu Zong, Hui Xu, Shengwu Xiong, Pengfei Duan:
Space-time simulation model based on particle swarm optimization algorithm for stadium evacuation. 194-201 - Mauro Campos, Renato A. Krohling:
Bare bones particle swarm with scale mixtures of Gaussians for dynamic constrained optimization. 202-209 - Geng Zhang, Yangmin Li:
Cooperative particle swarm optimizer with elimination mechanism for global optimization of multimodal problems. 210-217 - Ping Yan, Minghai Jiao:
A Chaotic Particle Swarm Optimization algorithm for the jobshop scheduling problem. 218-222 - Wenyong Dong, Jiangsen Tian, Xu Tang, Kang Sheng, Jin Liu:
Autonomous Learning Adaptation for Particle Swarm Optimization. 223-228 - Nuosi Wu, Zexuan Zhu, Zhen Ji:
A growing partitional clustering based on particle swarm optimization. 229-234 - Fangjun Kuang, Zhong Jin, Weihong Xu, Siyang Zhang:
A novel chaotic artificial bee colony algorithm based on Tent map. 235-241 - Min-Rong Chen, Wei Zeng, Guo-Qiang Zeng, Xia Li, Jianping Luo:
A novel Artificial Bee Colony algorithm with integration of extremal optimization for numerical optimization problems. 242-249 - Fabrice Lauri, Abderrafiaa Koukam:
Hybrid ACO/EA algorithms applied to the multi-agent patrolling problem. 250-257 - Yujiao Zeng, Yanguang Sun:
Comparison of multiobjective particle swarm optimization and evolutionary algorithms for optimal reactive power dispatch problem. 258-265 - Ivan Chaman Garcia, Carlos A. Coello Coello, Alfredo Arias-Montano:
MOPSOhv: A new hypervolume-based multi-objective particle swarm optimizer. 266-273 - Zhou Peng, Jinhua Zheng, Juan Zou:
A population diversity maintaining strategy based on dynamic environment evolutionary model for dynamic multiobjective optimization. 274-281 - Luiz Carlos Felix Carvalho, Márcia Aparecida Fernandes:
Multi-objective Flexible Job-Shop scheduling problem with DIPSO: More diversity, greater efficiency. 282-289 - Xiao-Bing Hu, Ming Wang, Mark S. Leeson:
Calculating the complete pareto front for a special class of continuous multi-objective optimization problems. 290-297 - Raúl Lara-Cabrera, Carlos Cotta, Antonio José Fernández Leiva:
A self-adaptive evolutionary approach to the evolution of aesthetic maps for a RTS game. 298-304 - Yiqiao Cai, Ji-Xiang Du:
Enhanced differential evolution with adaptive direction information. 305-312 - Marcelo Lotif:
Visualizing the population of meta-heuristics during the optimization process using self-organizing maps. 313-319 - Kuicheng Lin, Xue Wang, Xuanping Li, Yuqi Tan:
Self-adaptive morphable model based multi-view non-cooperative 3D face reconstruction. 320-325 - Ayad Mashaan Turky, Salwani Abdullah, Nasser R. Sabar:
Electromagnetic algorithm for tuning the structure and parameters of neural networks. 326-331 - Zhihui Li, Zhigang Shang, Bo-Yang Qu, Jing J. Liang:
Feature Selection based on manifold-learning with dynamic constraint handling differential evolution. 332-337 - Joaquim P. L. Viegas, Susana M. Vieira, João M. C. Sousa, Elsa M. P. Henriques:
Metaheuristics for the 3D bin packing problem in the steel industry. 338-343 - Antonio González-Pardo, David Camacho:
A new CSP graph-based representation to resource-constrained project scheduling problem. 344-351 - Haiming Liu, Jiong Zhou, Xinsheng Wu, Peng Yuan:
Optimization algorithm for rectangle packing problem based on varied-factor genetic algorithm and lowest front-line strategy. 352-357 - Siavash Farzan, Guilherme N. DeSouza:
A parallel evolutionary solution for the inverse kinematics of generic robotic manipulators. 358-365 - Yue Chen, Zexuan Zhu, Zhen Ji:
Feature extraction based on trimmed complex network representation for metabolomic data classification. 366-370 - Kenichi Tamura, Keiichiro Yasuda:
Primary study on feedback controlled differential evolution. 371-378 - Wenchao Yu, Linji Lu:
A route planning strategy for the automatic garment cutter based on genetic algorithm. 379-386
Special Session: MoE2-1 Evolutionary Multi-Objective Optimization and Decision Making,
- Roberto Erick Lopez-Herrejon, Javier Ferrer, Francisco Chicano, Alexander Egyed, Enrique Alba:
Comparative analysis of classical multi-objective evolutionary algorithms and seeding strategies for pairwise testing of Software Product Lines. 387-396 - Yang Li, Aimin Zhou, Guixu Zhang:
An MOEA/D with multiple differential evolution mutation operators. 397-404 - Ties Brands, Luc J. J. Wismans, Eric C. Van Berkum:
Multi-objective transportation network design: Accelerating search by applying ε-NSGAII. 405-412 - Giovanni Acampora, Hisao Ishibuchi, Autilia Vitiello:
A comparison of multi-objective evolutionary algorithms for the ontology meta-matching problem. 413-420 - Asad Mohammadi, Mohammad Nabi Omidvar, Xiaodong Li, Kalyanmoy Deb:
Integrating user preferences and decomposition methods for many-objective optimization. 421-428 - Saúl Zapotecas Martínez, Carlos A. Coello Coello:
A multi-objective evolutionary algorithm based on decomposition for constrained multi-objective optimization. 429-436 - Kristina S. Georgieva, Andries P. Engelbrecht:
Cooperative DynDE for temporal data clustering. 437-444 - Jing J. Liang, B. Zheng, F. Y. Xu, Bo-Yang Qu, Hui Song:
Multi-objective differential evolution algorithm based on fast sorting and a novel constraints handling technique. 445-450 - Johanna Aalto, Jouni Lampinen:
A mutation and crossover adaptation mechanism for differential evolution algorithm. 451-458 - Carlos Segura, Carlos A. Coello Coello, Eduardo Segredo, Coromoto León:
An analysis of the automatic adaptation of the crossover rate in differential evolution. 459-466 - A. Kai Qin, Ke Tang, Hong Pan, Si-Yu Xia:
Self-adaptive differential evolution with local search chains for real-parameter single-objective optimization. 467-474 - Rubai Amin, Jiangjun Tang, Mohamed Ellejmi, Stephen Kirby, Hussein A. Abbass:
Trading-off simulation fidelity and optimization accuracy in air-traffic experiments using differential evolution. 475-482
Special Session: MoE2-3 Evolutionary Computation in Combinatorial Optimization
- Stephen Bennett, Su Nguyen, Mengjie Zhang:
A hybrid discrete particle swarm optimisation method for grid computation scheduling. 483-490 - Tianxiang Cui, Shi Cheng, Ruibin Bai:
A combinatorial algorithm for the cardinality constrained portfolio optimization problem. 491-498 - Nasser R. Sabar, Graham Kendall:
Using harmony search with multiple pitch adjustment operators for the portfolio selection problem. 499-503 - Daniel Smullen, Jonathan Gillett, Joseph Heron, Shahryar Rahnamayan:
Genetic algorithm with self-adaptive mutation controlled by chromosome similarity. 504-511 - James Jian Qiao Yu, Albert Y. S. Lam, Victor O. K. Li:
Chemical reaction optimization for the set covering problem. 512-519 - Nasser R. Sabar, Graham Kendall:
Aircraft landing problem using hybrid differential evolution and simple descent algorithm. 520-527
Special Session: MoE2-4 Artificial Bee Colony Algorithms and their Applications,
- Bai Li, Raymond Chiong, Ligang Gong:
Search-evasion path planning for submarines using the Artificial Bee Colony algorithm. 528-535 - Ezzeddine Fatnassi, Olfa Chebbi, Jouhaina Chaouachi Siala:
Bee colony algorithm for the routing of guided automated battery-operated electric vehicles in personal rapid transit systems. 536-543 - Cheng Weng Fong, Hishammuddin Asmuni, Way Shen Lam, Barry McCollum, Paul McMullan:
A novel hybrid swarm based approach for curriculum based course timetabling problem. 544-550 - Önder Bulut, Mehmet Fatih Tasgetiren:
A discrete artificial bee colony algorithm for the Economic Lot Scheduling problem with returns. 551-557 - Yun-Chia Liang, Angela Hsiang-Ling Chen, Yung-Hsiang Nien:
Artificial Bee Colony for workflow scheduling. 558-564 - Ana Madureira, Bruno Cunha, Ivo Pereira:
Cooperation Mechanism for Distributed resource scheduling through artificial bee colony based self-organized scheduling system. 565-572 - Nanda Dulal Jana, Jaya Sil, Swagatam Das:
Particle Swarm Optimization with population adaptation. 573-578
Special Session: TuE1-1 Evolutionary Computation for Planning and Scheduling
- Min Liu, Hemant Kumar Singh, Tapabrata Ray:
A benchmark generator for dynamic capacitated arc routing problems. 579-586 - Huan-yu Zheng, Ling Wang, Shengyao Wang:
A co-evolutionary teaching-learning-based optimization algorithm for stochastic RCPSP. 587-594 - Min Liu, Hemant Kumar Singh, Tapabrata Ray:
A memetic algorithm with a new split scheme for solving dynamic capacitated arc routing problems. 595-602 - Zang Yuan, Yingwu Chen, Renjie He:
Agile earth observing satellites mission planning using genetic algorithm based on high quality initial solutions. 603-609 - Jiangjun Tang, Hussein A. Abbass:
Behavioral learning of aircraft landing sequencing using a society of Probabilistic Finite state Machines. 610-617 - Rachel Hunt, Mark Johnston, Mengjie Zhang:
Evolving machine-specific dispatching rules for a two-machine job shop using genetic programming. 618-625 - Xiaolong Zheng, Ling Wang, Shengyao Wang:
An enhanced non-dominated sorting based fruit fly optimization algorithm for solving environmental economic dispatch problem. 626-633 - Ben Niu, Ting Xie, Qiqi Duan, Lijing Tan:
Particle swarm optimization for Integrated Yard Truck Scheduling and Storage Allocation Problem. 634-639 - Tong Liu, Chaoli Sun, Jianchao Zeng, Songdong Xue, Yaochu Jin:
Similarity- and reliability-assisted fitness estimation for particle swarm optimization of expensive problems. 640-646 - Ben Niu, Ying Bi:
Binary bacterial foraging optimization for 0/1 knapsack problem. 647-652 - Damla Kizilay, Mehmet Fatih Tasgetiren, Önder Bulut, Bilgehan Bostan:
A discrete artificial bee colony algorithm for the assignment and parallel machine scheduling problem in DYO paint company. 653-660 - Fangxiao Wang, Yuan Gao, Zexuan Zhu:
Locality-sensitive hashing based multiobjective memetic algorithm for dynamic pickup and delivery problems. 661-666
Special Session: TuE1-3 Complex Networks and Evolutionary Computation
- Jianshe Wu, Lin Yuan, Qingliang Gong, Wenping Ma, Jingjing Ma, Yangyang Li:
A compression optimization algorithm for community detection. 667-671 - Shanfeng Wang, Maoguo Gong, Lijia Ma, Qing Cai, Licheng Jiao:
Decomposition based multiobjective evolutionary algorithm for collaborative filtering recommender systems. 672-679 - Caihong Mu, Jin Xie, Ruochen Liu, Licheng Jiao:
A memetic algorithm using local structural information for detecting community structure in complex networks. 680-686 - Xiangjing Song, Junzhong Ji, Cuicui Yang, Xiuzhen Zhang:
Ant colony clustering based on sampling for community detection. 687-692 - Li Kuang, Zhiyong Zhao, Feng Wang, Yuanxiang Li, Fei Yu, Zhijie Li:
A differential evolution box-covering algorithm for fractal dimension on complex networks. 693-699 - Caihong Mu, Jian Zhang, Licheng Jiao:
An intelligent ant colony optimization for community detection in complex networks. 700-706
Special Session: TuE1-4 Evolutionary Algorithms with Statistical and Machine Learning Techniques
- Yuzhen Zhang, Guangming Dai, Lei Peng, Maocai Wang:
HMOEDA_LLE: A hybrid multi-objective estimation of distribution algorithm combining locally linear embedding. 707-714 - Bo Liu, Qin Chen, Qingfu Zhang, Georges G. E. Gielen, Vic Grout:
Behavioral study of the surrogate model-aware evolutionary search framework. 715-722 - Hu Zhang, Shenmin Song, Aimin Zhou, Xiao Zhi Gao:
A clustering based multiobjective evolutionary algorithm. 723-730 - Xianneng Li, Wen He, Kotaro Hirasawa:
Creating stock trading rules using graph-based estimation of distribution algorithm. 731-738 - Pak-Kan Wong, Leung-Yau Lo, Man-Leung Wong, Kwong-Sak Leung:
Grammar-Based Genetic Programming with Bayesian network. 739-746 - Bartosz Krawczyk, Isaac Triguero, Salvador García, Michal Wozniak, Francisco Herrera:
A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification. 747-753
Poster Session: PE2 Poster Session II
- Ruochen Liu, Xu Niu, Licheng Jiao, Jingjing Ma:
A multi-swarm particle swarm optimization with orthogonal learning for locating and tracking multiple optimization in dynamic environments. 754-761 - James Nga-Kwok Liu, Yan-Xing Hu, Yu-Lin He, Xizhao Wang:
Regression ensemble with PSO algorithms based fuzzy integral. 762-768 - Shouyong Jiang, Shengxiang Yang:
An improved quantum-behaved particle swarm optimization algorithm based on linear interpolation. 769-775 - Hyondong Oh, Yaochu Jin:
Evolving hierarchical gene regulatory networks for morphogenetic pattern formation of swarm robots. 776-783 - Zhongyang Zheng, Junzhi Li, Jie Li, Ying Tan:
Avoiding decoys in multiple targets searching problems using swarm robotics. 784-791 - Jiang Liu, Baigen Cai, Jian Wang:
Particle swarm optimization for integrity monitoring in BDS/DR based railway train positioning. 792-797 - Xianneng Li, Wen He, Kotaro Hirasawa:
Learning and evolution of genetic network programming with knowledge transfer. 798-805 - Ming Yang, Zhihua Cai, Changhe Li, Jing Guan:
An improved JADE algorithm for global optimization. 806-812 - Shasha Feng, Shaolin Tan, Jinhu Lu:
Characterizing the impact of selection on the evolution of cooperation in complex networks. 813-818 - Meng Yu, Xingquan Zuo, Chase C. Murray:
A tabu search heuristic for the single row layout problem with shared clearances. 819-825 - Chao Gao, Thomas Weise, Jinlong Li:
A weighting-based local search heuristic algorithm for the Set Covering Problem. 826-831 - Martin Schlueter, Masaharu Munetomo:
Parallelization for space trajectory optimization. 832-839 - Qiaoyong Jiang, Lei Wang, Xinhong Hei, Rong Fei, Dongdong Yang, Feng Zou, Hongye Li, Zijian Cao, Yanyan Lin:
Optimal approximation of stable linear systems with a novel and efficient optimization algorithm. 840-844 - Antonio Bolufé Röhler, Stephen Chen:
Extending Minimum Population Search towards large scale global optimization. 845-852 - Biao Zhang, Jun-Hua Duan, Hong-yan Sang, Junqing Li, Hui Yan:
A new penalty function method for constrained optimization using harmony search algorithm. 853-859 - Donald Davendra, Roman Senkerik, Ivan Zelinka, Michal Pluhacek:
Scatter Search Algorithm with chaos based stochasticity. 860-866 - Shakhnaz Akhmedova, Eugene Semenkin:
Co-operation of Biology Related Algorithms meta-heuristic in ANN-based classifiers design. 867-872 - Denis Felipe, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg:
Scientific algorithms for the Car Renter Salesman Problem. 873-879 - Shinya Watanabe, Yuta Chiba, Masahiro Kanazaki:
A proposal on analysis support system based on association rule analysis for non-dominated solutions. 880-887 - Xing Zhou, Wei Peng, Bo Yang:
GEAS: A GA-ES-mixed algorithm for parameterized optimization problems - Using CLS problem as an example. 888-894 - Marcos Álvares Barbosa Junior, Tshilidzi Marwala, Fernando Buarque de Lima Neto:
Application of computational intelligence for Source Code classification. 895-902 - Xiao-Bing Hu, Mark S. Leeson:
Genetic algorithm with spatial receding horizon control for the optimization of facility locations. 903-909 - Jenna Marie Reps, Uwe Aickelin, Jonathan M. Garibaldi:
Tuning a multiple classifier system for side effect discovery using genetic algorithms. 910-917 - Jianlei Zhang, Chunyan Zhang, Ming Cao, Tianguang Chu:
Cooperation with potential leaders in evolutionary game study of networking agents. 918-923 - Pengfei Duan, Shengwu Xiong, Zhongbo Hu, Qiong Chen, Xinlu Zong:
Multi-objective optimization model based on steady degree for teaching building evacuation. 924-929 - Gema Bello Orgaz, David Camacho:
Evolutionary clustering algorithm for community detection using graph-based information. 930-937 - Mari Nishiyama, Hitoshi Iba:
Applying conversion matrix to robots for imitating motion using genetic algorithms. 938-944 - Francisco A. L. Manfrini, Helio J. C. Barbosa, Heder S. Bernardino:
Optimization of combinational logic circuits through decomposition of truth table and evolution of sub-circuits. 945-950 - Huynh Thi Thanh Binh, Tran Van Long, Nguyen Xuan Hoai, Nguyen Duc Anh, Pham Manh Truong:
Reordering dimensions for Radial Visualization of multidimensional data - A Genetic Algorithms approach. 951-958 - Edjalma Q. da Silva, Celso G. Camilo-Junior, Luiz Mario L. Pascoal, Thierson Couto Rosa:
An evolutionary approach for combining results of recommender systems techniques based on Collaborative Filtering. 959-966
Special Session: TuE2-1 Nature-Inspired Constrained Optimization
- Chenyang Bu, Wenjian Luo, Tao Zhu:
Differential evolution with a species-based repair strategy for constrained optimization. 967-974 - Maria Yaneli Ameca-Alducin, Efrén Mezura-Montes, Nicandro Cruz-Ramírez:
Differential evolution with combined variants for dynamic constrained optimization. 975-982 - Hemant Kumar Singh, Md. Asafuddoula, Tapabrata Ray:
Solving problems with a mix of hard and soft constraints using modified infeasibility driven evolutionary algorithm (IDEA-M). 983-990 - Noha M. Hamza, Daryl Leslie Essam, Ruhul A. Sarker:
Differential evolution with a constraint consensus mutation for solving optimization problems. 991-997 - Daniel J. Poole, Christian B. Allen, Thomas C. S. Rendall:
Constraint handling in agent-based optimization by independent sub-swarms. 998-1005 - Saber M. Elsayed, Ruhul A. Sarker, Daryl Leslie Essam:
United multi-operator evolutionary algorithms. 1006-1013
Special Session: TuE2-2 Computational Intelligence in Bioinformatics
- Marco S. Nobile, Andrea G. Citrolo, Paolo Cazzaniga, Daniela Besozzi, Giancarlo Mauri:
A memetic hybrid method for the Molecular Distance Geometry Problem with incomplete information. 1014-1021 - Jeffrey A. Thompson, Clare Bates Congdon:
GAMI-CRM: Using de novo motif inference to detect cis-regulatory modules. 1022-1029 - Wei Pang, George Macleod Coghill:
An immune network approach to learning qualitative models of biological pathways. 1030-1037 - Yan Chen, Yi Shang, Dong Xu:
Multi-dimensional scaling and MODELLER-based evolutionary algorithms for protein model refinement. 1038-1045 - Archana Chowdhury, Pratyusha Rakshit, Amit Konar, Atulya K. Nagar:
A modified bat algorithm to predict Protein-Protein Interaction network. 1046-1053 - Leif E. Peterson:
Evolutionary algorithms applied to likelihood function maximization during poisson, logistic, and Cox proportional hazards regression analysis. 1054-1061
Special Session: TuE2-3 Single Objective Numerical Optimization I
- Saber M. Elsayed, Tapabrata Ray, Ruhul A. Sarker:
A surrogate-assisted differential evolution algorithm with dynamic parameters selection for solving expensive optimization problems. 1062-1068 - Hemant Kumar Singh, Amitay Isaacs, Tapabrata Ray:
A hybrid surrogate based algorithm (HSBA) to solve computationally expensive optimization problems. 1069-1075 - Subhodip Biswas, Mohammad A. Eita, Swagatam Das, Athanasios V. Vasilakos:
Evaluating the performance of Group Counseling Optimizer on CEC 2014 problems for Computational Expensive Optimization. 1076-1083 - István Erlich, José L. Rueda, Sebastian Wildenhues, Fekadu Shewarega:
Solving the IEEE-CEC 2014 expensive optimization test problems by using single-particle MVMO. 1084-1091 - Juliane Müller, Tipaluck Krityakierne, Christine A. Shoemaker:
SO-MODS: Optimization for high dimensional computationally expensive multi-modal functions with surrogate search. 1092-1099
Special Session: TuE2-4 Data Mining and Machine Learning Meet Evolutionary Computation,
- Alejandro Rosales-Pérez, Hugo Jair Escalante, Carlos A. Coello Coello, Jesus A. Gonzalez, Carlos A. Reyes García:
An evolutionary multi-objective approach for prototype generation. 1100-1107 - Peng Cheng, Jeng-Shyang Pan, Chun-Wei Lin:
Use EMO to protect sensitive knowledge in association rule mining by removing items. 1108-1115 - Essam Soliman Debie, Kamran Shafi, Kathryn E. Merrick, Chris Lokan:
An online evolutionary rule learning algorithm with incremental attribute discretization. 1116-1123 - Yexing Li, Xinye Cai, Zhun Fan, Qingfu Zhang:
An external archive guided multiobjective evolutionary approach based on decomposition for continuous optimization. 1124-1130 - Farid Bourennani, Shahryar Rahnamayan, Greg F. Naterer:
MODEL: Multi-objective differential evolution with leadership enhancement. 1131-1138 - Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb:
On the performance of classification algorithms for learning Pareto-dominance relations. 1139-1146
WeE1-1 Multi-Objective Evolutionary Algorithms I
- Robin C. Purshouse, Kalyanmoy Deb, Maszatul M. Mansor, Sanaz Mostaghim, Rui Wang:
A review of hybrid evolutionary multiple criteria decision making methods. 1147-1154 - Ahmad Alhindi, Qingfu Zhang:
MOEA/D with Tabu Search for multiobjective permutation flow shop scheduling problems. 1155-1164 - Yiu-ming Cheung, Fangqing Gu:
Online objective reduction for many-objective optimization problems. 1165-1171 - Sen Bong Gee, Kay Chen Tan:
Diversity preservation with hybrid recombination for evolutionary multiobjective optimization. 1172-1178 - Simone Alicino, Massimiliano Vasile:
An evolutionary approach to the solution of multi-objective min-max problems in evidence-based robust optimization. 1179-1186 - Chang Luo, Koji Shimoyama, Shigeru Obayashi:
Kriging model based many-objective optimization with efficient calculation of expected hypervolume improvement. 1187-1194
WeE1-2 Evolutionary Games and Multi-Agent Systems
- Takahiko Sudo, Yusuke Nojima, Hisao Ishibuchi:
Effects of ensemble action selection on the evolution of iterated prisoner's dilemma game strategies. 1195-1201 - Jeffrey Tsang:
The structure of a probabilistic 2-state finite transducer representation for Prisoner's Dilemma. 1202-1209 - Christiaan Scheepers, Andries P. Engelbrecht:
Competitive coevolutionary training of simple soccer agents from zero knowledge. 1210-1217 - Garrison W. Greenwood, Saber M. Elsayed, Ruhul A. Sarker, Hussein A. Abbass:
Online generation of trajectories for autonomous vehicles using a multi-agent system. 1218-1224 - Seung-Mok Lee, Hyun Myung:
A cooperative coevolutionary approach to multi-robot formation control. 1225-1231 - Menglin Li, Colm O'Riordan:
Graph centrality measures and the robustness of cooperation. 1232-1237
Special Session: WeE1-3 Hybrid Evolutionary Computational Methods for Complex Optimization Problems
- Sai-Ho Ling, Phyo Phyo San, Hak-Keung Lam, Hung T. Nguyen:
Non-invasive detection of hypoglycemic episodes in Type 1 diabetes using intelligent hybrid rough neural system. 1238-1242 - Kit Yan Chan, Nimali Rajakaruna, Chamila Rathnayake, Iain Murray:
Image deblurring using a hybrid optimization algorithm. 1243-1249 - Mitchell Yuwono, Steven W. Su, Bruce Moulton, Ying Guo, Hung T. Nguyen:
An algorithm for scalable clustering: Ensemble Rapid Centroid Estimation. 1250-1257 - Jyh-Cheng Yu, Zhi-Fu Liang, Tsung-Ren Hung:
Evolutionary regional network modeling for efficient engineering optimization. 1258-1264 - Fei Li, Yuting Zhang, Jiulong Wu, Haibo Li:
Quantum bacterial foraging optimization algorithm. 1265-1272 - Wan-Yu Liu, Chun-Cheng Lin:
A cultural algorithm for spatial forest harvest scheduling. 1273-1276
Special Session: WeE1-4 Large Scale Global Optimization
- Sishi Ye, Guangming Dai, Lei Peng, Maocai Wang:
A hybrid adaptive coevolutionary differential evolution algorithm for large-scale optimization. 1277-1284 - Sedigheh Mahdavi, Mohammad Ebrahim Shiri, Shahryar Rahnamayan:
Cooperative Co-evolution with a new decomposition method for large-scale optimization. 1285-1292 - Fei Wei, Yuping Wang, Tingting Zong:
Variable grouping based differential evolution using an auxiliary function for large scale global optimization. 1293-1298 - Shengli Wang, Xingquan Zuo, Xinchao Zhao:
Solving dynamic double-row layout problem via an improved simulated annealing algorithm. 1299-1304 - Mohammad Nabi Omidvar, Yi Mei, Xiaodong Li:
Effective decomposition of large-scale separable continuous functions for cooperative co-evolutionary algorithms. 1305-1312 - Yi Mei, Xiaodong Li, Xin Yao:
Variable neighborhood decomposition for Large Scale Capacitated Arc Routing Problem. 1313-1320
Poster Session: PE3 Poster Session III
- Qingjian Ni, Cen Cao, Xushan Yin:
A new dynamic probabilistic Particle Swarm Optimization with dynamic random population topology. 1321-1327 - Jiangshao Gu, Xuanhua Shi:
An adaptive PSO based on motivation mechanism and acceleration restraint operator. 1328-1336 - Wei Zhang, Yanan Gao, Chengxing Zhang:
The Enhanced Vector of Convergence for Particle Swarm Optimization based on constrict factor. 1337-1342 - Ping He, Lin Lu, Xiao-hua Xu, Heng Qian, Wei Zhang, Yongsheng Ju:
Evolutionary semi-supervised learning with swarm intelligence. 1343-1350 - Junqi Zhang, Xiong Zhu, Wei Wang, Jing Yao:
A fast restarting particle swarm optimizer. 1351-1358 - Zezhou Li, Junqi Zhang, Wei Wang, Jing Yao:
Dimensions cooperate by Euclidean metric in Particle Swarm Optimization. 1359-1366 - Yangyang Li, Xiaolong Tian, Licheng Jiao, Xiangrong Zhang:
Biclustering of gene expression data using Particle Swarm Optimization integrated with pattern-driven local search. 1367-1373 - Lan Shuai, Zhen Wang, Tao Gong:
Simulating the coevolution of language and long-term memory. 1374-1381 - Gang Chen, Wenjian Luo, Tao Zhu:
Evolutionary clustering with differential evolution. 1382-1389 - Mohammad Riyad Ameerudden, Harry C. S. Rughooputh:
Smart hybrid Genetic Algorithms in the bandwidth optimization of a PIFA antenna. 1390-1396 - Shao-Wen Chen, Tsung-Che Chiang:
Evolutionary many-objective optimization by MO-NSGA-II with enhanced mating selection. 1397-1404 - Yongxin Luo, Sheng Huang, Jinglu Hu:
A niching two-layered differential evolution with self-adaptive control parameters. 1405-1412 - Valerio Lattarulo, Benjamin A. Lindleya, Geoffrey T. Parks:
Application of the MOAA for the optimization of CORAIL assemblies for nuclear reactors. 1413-1420 - Petrica C. Pop, Camelia Chira:
A hybrid approach based on genetic algorithms for solving the Clustered Vehicle Routing Problem. 1421-1426 - James Montgomery, Stephen Chen, Yasser González-Fernández:
Identifying and exploiting the scale of a search space in differential evolution. 1427-1434 - Amel Ksibi, Anis Ben Ammar, Chokri Ben Amar:
Enhancing relevance re-ranking using nature-inspired meta-heuristic optimization algorithms. 1435-1442 - Pavel Krömer, Ivan Zelinka, Václav Snásel:
Can deterministic chaos improve differential evolution for the linear ordering problem? 1443-1448 - Jin Zhang, Dietmar Maringer:
Two parameter update schemes for recurrent reinforcement learning. 1449-1453 - Zhihui Li, Zhigang Shang, Boyang Qu, Jane-Jing Liang:
Differential Evolution strategy based on the constraint of fitness values classification. 1454-1460 - Skander Htiouech, Sadok Bouamama:
A Lagrangian and surrogate information enhanced tabu search for the MMKP. 1461-1468 - Peng Yang, Ke Tang, José Antonio Lozano:
Estimation of Distribution Algorithms based Unmanned Aerial Vehicle path planner using a new coordinate system. 1469-1476 - Husheng Wu, Fengming Zhang:
A uncultivated wolf pack algorithm for high-dimensional functions and its application in parameters optimization of PID controller. 1477-1482 - Luca Marchetti, Vincenzo Manca, Ivan Zelinka:
On the inference of deterministic chaos: Evolutionary algorithm and metabolic P system approaches. 1483-1489 - Meng Yang, Rui Li, Tianguang Chu:
A new method and application for controlling the steady-state probability distributions of probabilistic Boolean networks. 1490-1495 - Tiantian He, Keith C. C. Chan:
Evolutionary community detection in social networks. 1496-1503 - Michael O'Neill, Miguel Nicolau, Alexandros Agapitos:
Experiments in program synthesis with grammatical evolution: A focus on Integer Sorting. 1504-1511 - Luiz Mario L. Pascoal, Celso G. Camilo-Junior, Edjalma Q. da Silva, Thierson Couto Rosa:
A social-evolutionary approach to compose a similarity function used on event recommendation. 1512-1519 - Oliviu Matei, Diana Contras, Petrica C. Pop:
Applying evolutionary computation for evolving ontologies. 1520-1527
Special Session: WeE2-1 Evolutionary Computation in Dynamic and Uncertain Environments,
- Yi-Nan Guo, Meirong Chen, Haobo Fu, Yun Liu:
Find robust solutions over time by two-layer multi-objective optimization method. 1528-1535 - Sheldon Hui, Ponnuthurai Nagaratnam Suganthan:
Niching-based Self-adaptive Ensemble DE with MMTS for solving dynamic optimization problems. 1536-1541 - Michalis Mavrovouniotis, Shengxiang Yang:
Interactive and non-interactive hybrid immigrants schemes for ant algorithms in dynamic environments. 1542-1549 - Haobo Fu, Peter R. Lewis, Bernhard Sendhoff, Ke Tang, Xin Yao:
What are dynamic optimization problems? 1550-1557 - Chi Kin Chow, Shiu Yin Yuen:
A dynamic history-driven evolutionary algorithm. 1558-1564 - Zhi-Hui Zhan, Jing-Jing Li, Jun Zhang:
Adaptive particle swarm optimization with variable relocation for dynamic optimization problems. 1565-1570
Special Session: WeE2-2 Intelligent Design for Reliable Cloud Computing
- Po-Chun Chang, Xiangjian He:
Macroscopic Indeterminacy Swarm Optimization (MISO) algorithm for real-parameter search. 1571-1578 - Yunzhi Jiang, Zhifeng Hao, Zhenlun Yang, Yinglong Wang, Huojiao He:
A cooperative honey bee mating algorithm and its application in multi-threshold image segmentation. 1579-1585 - Chun-Hua Chou, Chia-Ling Huang, Po-Chun Chang:
A RFID network design methodology for decision problem in health care. 1586-1592 - Shang-Chia Wei, Wei-Chang Yeh, Tso-Jung Yen:
Pareto simplified swarm optimization for grid-computing reliability and service makspan in grid-RMS. 1593-1600 - Xiaoyong Xu, Maolin Tang:
A new grouping genetic algorithm for the MapReduce placement problem in cloud computing. 1601-1608 - Zeratul Izzah Mohd Yusoh, Maolin Tang:
Composite SaaS scaling in Cloud computing using a hybrid genetic algorithm. 1609-1616
Special Session: WeE2-3 Single Objective Numerical Optimization II
- Changjian Xu, Han Huang, Shujin Ye:
A Differential Evolution with Replacement Strategy for Real-Parameter Numerical Optimization. 1617-1624 - István Erlich, José L. Rueda, Sebastian Wildenhues, Fekadu Shewarega:
Evaluating the Mean-Variance Mapping Optimization on the IEEE-CEC 2014 test suite. 1625-1632 - Daniel Molina, Benjamin Lacroix, Francisco Herrera:
Influence of regions on the memetic algorithm for the CEC'2014 Special Session on Real-Parameter Single Objective Optimisation. 1633-1640 - Robert W. Garden, Andries P. Engelbrecht:
Analysis and classification of optimisation benchmark functions and benchmark suites. 1641-1649 - Saber M. Elsayed, Ruhul A. Sarker, Daryl Leslie Essam, Noha M. Hamza:
Testing united multi-operator evolutionary algorithms on the CEC2014 real-parameter numerical optimization. 1650-1657 - Ryoji Tanabe, Alex S. Fukunaga:
Improving the search performance of SHADE using linear population size reduction. 1658-1665
WeE2-4 Learning Classifier Systems
- Shubhra Kanti Karmaker Santu, Md. Mustafizur Rahman, Md. Monirul Islam, Kazuyuki Murase:
Towards better generalization in Pittsburgh learning classifier systems. 1666-1673 - Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
GP-based kernel evolution for L2-Regularization Networks. 1674-1681 - Xianneng Li, Wen He, Kotaro Hirasawa:
Generalized classifier system: Evolving classifiers with cyclic conditions. 1682-1689 - Po-Ming Lee, Tzu-Chien Hsiao:
Applying LCS to affective image classification in spatial-frequency domain. 1690-1697 - Tien Thanh Nguyen, Alan Wee-Chung Liew, Minh Toan Tran, Xuan Cuong Pham, Mai Phuong Nguyen:
A novel genetic algorithm approach for simultaneous feature and classifier selection in multi classifier system. 1698-1705 - Kyrre Glette, Paul Kaufmann:
Lookup table partial reconfiguration for an evolvable hardware classifier system. 1706-1713
ThE1-1 Ant Colony Optimization
- Ankit Pat:
Ant Colony Optimization and hypergraph covering problems. 1714-1720 - Ping He, Lin Lu, Xiao-hua Xu, Kanwen Li, Heng Qian, Wei Zhang:
Confidence-based ant random walks. 1721-1728 - Eugenius Kaszkurewicz, Amit Bhaya, Jayadeva, João Marcos Meirelles da Silva:
The Coupled EigenAnt algorithm for shortest path problems. 1729-1735 - Laurence Dawson, Iain A. Stewart:
Accelerating ant colony optimization-based edge detection on the GPU using CUDA. 1736-1743 - Zijun Wu, Michael Kolonko:
Absorption in model-based search algorithms for combinatorial optimization. 1744-1751 - Michalis Mavrovouniotis, Shengxiang Yang:
Elitism-based immigrants for ant colony optimization in dynamic environments: Adapting the replacement rate. 1752-1759
ThE1-2 Opposition-Based Learning and Differential Evolution
- Rammohan Mallipeddi, Guohua Wu, Minho Lee, Ponnuthurai Nagaratnam Suganthan:
Gaussian adaptation based parameter adaptation for differential evolution. 1760-1767 - Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Type-II opposition-based differential evolution. 1768-1775 - Huichao Liu, Zhijian Wu, Hui Wang, Shahryar Rahnamayan, Changshou Deng:
Improved differential evolution with adaptive opposition strategy. 1776-1783 - Jaqueline S. Angelo, Eduardo Krempser, Helio J. C. Barbosa:
Differential Evolution assisted by a surrogate model for bilevel programming problems. 1784-1791 - Edmondo A. Minisci, Massimiliano Vasile:
Adaptive Inflationary Differential Evolution. 1792-1799 - Shahryar Rahnamayan, Jude Jesuthasan, Farid Bourennani, Hojjat Salehinejad, Greg F. Naterer:
Computing opposition by involving entire population. 1800-1807
ThE1-3 Genetic Programming
- Xianneng Li, Wen He, Kotaro Hirasawa:
Adaptive Genetic Network Programming. 1808-1815 - Thomas Weise, Mingxu Wan, Ke Tang, Xin Yao:
Evolving exact integer algorithms with Genetic Programming. 1816-1823 - Su Nguyen, Mengjie Zhang, Mark Johnston:
A sequential genetic programming method to learn forward construction heuristics for order acceptance and scheduling. 1824-1831 - Cheng Xie, Lin Shang:
Anomaly detection in crowded scenes using genetic programming. 1832-1839 - Yang Yu, Hui Ma, Mengjie Zhang:
A Genetic Programming approach to distributed QoS-aware web service composition. 1840-1846 - Tomás Kren, Roman Neruda:
Generating lambda term individuals in typed genetic programming using forgetful A∗. 1847-1854
ThE1-4 Heuristics, Metaheuristics and Hyper-heuristics I
- Luciano Perdigão Cota, Matheus Nohra Haddad, Marcone Jamilson Freitas Souza, Vitor Nazário Coelho:
AIRP: A heuristic algorithm for solving the unrelated parallel machine scheduling problem. 1855-1862 - Jacomine Grobler, Andries P. Engelbrecht, Graham Kendall, Venkata S. S. Yadavalli:
Heuristic space diversity management in a meta-hyper-heuristic framework. 1863-1869 - Ankur Sinha, Pekka Malo, Kalyanmoy Deb:
An improved bilevel evolutionary algorithm based on Quadratic Approximations. 1870-1877 - Liangjun Ke, Huimin Guo, Qingfu Zhang:
A cooperative approach between metaheuristic and branch-and-price for the team orienteering problem with time windows. 1878-1882 - Yu-Jun Zheng, Bei Zhang, Zhen Cheng:
Hyper-heuristics with penalty parameter adaptation for constrained optimization. 1883-1889 - Eduardo Segredo, Carlos Segura, Coromoto León:
Control of numeric and symbolic parameters with a hybrid scheme based on fuzzy logic and hyper-heuristics. 1890-1897
Industrial Session: ThE1-5 Computational Intelligence on Predictive Maintenance and Optimization
- Eman Sayed, Daryl Essam, Ruhul A. Sarker, Saber M. Elsayed:
A decomposition-based algorithm for dynamic economic dispatch problems. 1898-1905 - Jianya Ding, Shiji Song, Rui Zhang, Cheng Wu:
Minimizing makespan for a no-wait flowshop using tabu mechanism improved iterated greedy algorithm. 1906-1911 - Matteo Ruello, Alessandro Niccolai, Francesco Grimaccia, Marco Mussetta, Riccardo Enrico Zich:
Black-hole PSO and SNO for electromagnetic optimization. 1912-1916 - Xiaohu Qian, Min Huang, Taiguang Gao, Xingwei Wang:
An improved ant colony algorithm for winner determination in multi-attribute combinatorial reverse auction. 1917-1921 - M. Geetha, P. Manikandan, Jovitha Jerome:
Soft computing techniques based optimal tuning of virtual feedback PID controller for chemical tank reactor. 1922-1928
Poster Session: PE4 Poster Session IV
- Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht:
Dynamic multi-objective optimization using charged vector evaluated particle swarm optimization. 1929-1936 - Eddy Mesa, Juan David Velásquez Henao, Gloria Patricia Jaramillo Álvarez:
A new self-adaptive PSO based on the identification of planar regions. 1937-1943 - Pei-Chuan Tsai, Chih-Ming Chen, Ying-Ping Chen:
PSO-based evacuation simulation framework. 1944-1950 - Souhir Bouaziz, Adel M. Alimi, Ajith Abraham:
PSO-based update memory for Improved Harmony Search algorithm to the evolution of FBBFNT' parameters. 1951-1958 - Chatkaew Jariyatantiwait, Gary G. Yen:
Fuzzy multiobjective differential evolution using performance metrics feedback. 1959-1966 - Shiu Yin Yuen, Xin Zhang:
Multiobjective evolutionary algorithm portfolio: Choosing suitable algorithm for multiobjective optimization problem. 1967-1973 - Ronghua Shang, Kun Zhang, Licheng Jiao, Wei Fang, Xiangrong Zhang, Xiaolin Tian:
A novel algorithm for many-objective dimension reductions: Pareto-PCA-NSGA-II. 1974-1981 - Thatiana C. N. de Souza, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg:
An experimental analysis of evolutionary algorithms for the three-objective oil derivatives distribution problem. 1982-1989 - Man-Fai Leung, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui:
A new strategy for finding good local guides in MOPSO. 1990-1997 - James Jian Qiao Yu, Victor O. K. Li, Albert Y. S. Lam:
An inter-molecular adaptive collision scheme for Chemical Reaction Optimization. 1998-2004 - Daniel J. Poole, Christian B. Allen, Thomas C. S. Rendall:
Analysis of constraint handling methods for the gravitational search algorithm. 2005-2012 - Zixing Cai, Sha Wen, Lijue Liu:
Distributed wireless sensor scheduling for multi-target tracking based on matrix-coded parallel genetic algorithm. 2013-2018 - Jinliang Ding, Lipeng Chen, Qingguang Xie, Tianyou Chai, Xiuping Zheng:
Effect of pseudo gradient on differential evolutionary for global numerical optimization. 2019-2026 - Mengshi Li, Tianyao Ji, Peter Wu, Shan He, Qing-Hua Wu:
Protein folding estimation using Paired-Bacteria Optimizer. 2027-2032 - Xiangwei Zheng, Dianjie Lu, Zhen-hua Chen:
A self-adaptive group search optimizer with Elitist strategy. 2033-2039 - Jun Xu, Xiangming Xi, Shuning Wang:
Optimization based on adaptive hinging hyperplanes and genetic algorithm. 2040-2046 - Tao Zhu, Wenjian Luo, Lihua Yue:
Combining multipopulation evolutionary algorithms with memory for dynamic optimization problems. 2047-2054 - Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh, Stephen Y. Chen:
Micro-differential evolution with vectorized random mutation factor. 2055-2062 - Song Gao, Chenxi Dai, Zhigang Liu, Xiao Geng:
Application of BPSO with GA in model-based fault diagnosis of traction substation. 2063-2069 - Xuanni Du, Xiaolin Chang:
Performance of AI algorithms for mining meaningful roles. 2070-2076 - Jie Li, Junqi Zhang:
Using estimation of distribution algorithm to coordinate decentralized learning automata for meta-task scheduling. 2077-2084 - Houssem Chatbri, Paul Wing Hing Kwan, Keisuke Kameyama:
A modular approach for query spotting in document images and its optimization using genetic algorithms. 2085-2092 - Xuezhi Zhu, Wenjian Luo, Tao Zhu:
An improved genetic algorithm for dynamic shortest path problems. 2093-2100 - Chia-Lin Wu, Chien-Hung Liu, Chuan-Kang Ting:
A novel genetic algorithm considering measures and phrases for generating melody. 2101-2107 - Zhe Shi, Yonggang Peng, Wei Wei:
Optimal sizing of DGs and storage for microgrid with interruptible load using improved NSGA-II. 2108-2115 - B. R. Rajakumar:
Lion algorithm for standard and large scale bilinear system identification: A global optimization based on Lion's social behavior. 2116-2123 - Yifei Wang, Jihao Yin:
Intelligent search optimized edge potential function (EPF) approach to synthetic aperture radar (SAR) scene matching. 2124-2131
ThE2-1 Multi-Objective Evolutionary Algorithms II
- Zhenkun Wang, Qingfu Zhang, Maoguo Gong, Aimin Zhou:
A replacement strategy for balancing convergence and diversity in MOEA/D. 2132-2139 - Miqing Li, Shengxiang Yang, Xiaohui Liu:
A test problem for visual investigation of high-dimensional multi-objective search. 2140-2147 - Adriana Menchaca-Méndez, Carlos A. Coello Coello:
MD-MOEA : A new MOEA based on the maximin fitness function and Euclidean distances between solutions. 2148-2155 - Hui Li, Qingfu Zhang, Jingda Deng:
Multiobjective test problems with complicated Pareto fronts: Difficulties in degeneracy. 2156-2163 - Luciano S. de Souza, Ricardo B. C. Prudêncio, Flávia de Almeida Barros:
A comparison study of binary multi-objective Particle Swarm Optimization approaches for test case selection. 2164-2171 - Martin Pilát, Roman Neruda:
The effect of different local search algorithms on the performance of multi-objective optimizers. 2172-2179 - Mostafa Z. Ali, Abdulmalik Morghem, Jafar Albadarneh, Rami S. Al-Gharaibeh, Ponnuthurai N. Suganthan, Robert G. Reynolds:
Cultural Algorithms applied to the evolution of robotic soccer team tactics: A novel perspective. 2180-2187 - Juan Terán, José Aguilar, Mariela Cerrada:
Cultural learning for Multi-Agent System and its application to fault management. 2188-2195 - Samuel D. Stanley, Areej J. Salaymeh, Thomas J. Palazzolo, David M. Warnke:
Analyzing prehistoric hunter behavior with cultural algorithms. 2196-2205 - Thair Judeh, Thaer Jayyousi, Lipi R. Acharya, Robert G. Reynolds, Dongxiao Zhu:
GSCA: Reconstructing biological pathway topologies using a cultural algorithms approach. 2206-2213 - Xiangdong Che, Robert G. Reynolds:
A social metrics based process model on complex social system. 2214-2221 - Bin Zhang, Kamran Shafi, Hussein A. Abbass:
Online knowledge-based evolutionary multi-objective optimization. 2222-2229
Special Session: ThE2-3 Single Objective Numerical Optimization III
- Radka Polakova, Josef Tvrdík, Petr Bujok:
Controlled restart in differential evolution applied to CEC2014 benchmark functions. 2230-2236 - Yashesh D. Dhebar, Kalyanmoy Deb, Sunith Bandaru:
Non-uniform mapping in real-coded genetic algorithms. 2237-2244 - Philippe Preux, Rémi Munos, Michal Valko:
Bandits attack function optimization. 2245-2252 - Petr Bujok, Josef Tvrdík, Radka Polakova:
Differential evolution with rotation-invariant mutation and competing-strategies adaptation. 2253-2258 - Zhongyi Hu, Yukun Bao, Tao Xiong:
Partial opposition-based adaptive differential evolution algorithms: Evaluation on the CEC 2014 benchmark set for real-parameter optimization. 2259-2265 - Boyang Qu, Jing J. Liang, J. M. Xiao, Zhigang Shang:
Memetic differential evolution based on fitness Euclidean-distance ratio. 2266-2273
ThE2-4 Music, Art, Creativity, Games and Multi-Agent Systems
- Allan Campbell, Vic Ciesielski, Karen Trist:
A self organizing map based method for understanding features associated with high aesthetic value evolved abstract images. 2274-2281 - Francisco Fernández de Vega, Tania Gallego, Mario García Valdez, Luis Espada, Lilian Navarro, V. Albarran:
When artists met EvoSpace-i. 2282-2289 - Nick Sephton, Peter I. Cowling, Edward Jack Powley, Daniel Whitehouse, Nicholas H. Slaven:
Parallelization of Information Set Monte Carlo Tree Search. 2290-2297 - Sunrise Wang, James Edward Gain, Geoff Stuart Nitschke:
Comparing crossover operators in Neuro-Evolution with crowd simulations. 2298-2305 - Jaime J. Dávila:
Genotype coding, diversity, and dynamic environments: A study on an evolutionary neural network multi-agent system. 2306-2313 - Diego Perez Liebana, Edward Jack Powley, Daniel Whitehouse, Spyridon Samothrakis, Simon M. Lucas, Peter I. Cowling:
The 2013 Multi-objective Physical Travelling Salesman Problem Competition. 2314-2321
ThE2-5 Real-World Applications I
- Hang Shao, Nathalie Japkowicz, Rami S. Abielmona, Rafael Falcon:
Vessel track correlation and association using fuzzy logic and Echo State Networks. 2322-2329 - Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin, Bao Nguyen:
Automatic Target Recognition using multiple-aspect sonar images. 2330-2337 - James Jian Qiao Yu, Victor O. K. Li:
Base station switching problem for green cellular networks with Social Spider Algorithm. 2338-2344 - Zhao Wang, Maoguo Gong, Qing Cai, Lijia Ma, Licheng Jiao:
Deployment optimization of near space airships based on MOEA/D with local search. 2345-2352 - Hsiao-Yu Tung, Wei-Chiu Ma, Tian-Li Yu:
Novel traffic signal timing adjustment strategy based on Genetic Algorithm. 2353-2360 - Ingo Mauser, Marita Dorscheid, Florian Allerding, Hartmut Schmeck:
Encodings for Evolutionary Algorithms in smart buildings with energy management systems. 2361-2366
FrE1-1 Differential Evolution
- Michael Mayo, Quan Sun:
Evolving artificial datasets to improve interpretable classifiers. 2367-2374 - Gervasio Varela, Pilar Caamaño, Felix Orjales, Álvaro Deibe, Fernando López-Peña, Richard J. Duro:
Differential Evolution in Constrained Sampling Problems. 2375-2382 - Vassilis P. Plagianakos:
Unsupervised clustering and multi-optima evolutionary search. 2383-2390 - Xin Qiu, Jian-Xin Xu, Kay Chen Tan:
A novel Differential Evolution (DE) algorithm for multi-objective optimization. 2391-2396 - David Lupien St-Pierre, Jialin Liu:
Differential Evolution algorithm applied to non-stationary bandit problem. 2397-2403 - Borhan Kazimipour, Xiaodong Li, A. Kai Qin:
Effects of population initialization on differential evolution for large scale optimization. 2404-2411
FrE1-2 Process Mining and Data Mining
- Seppe K. L. M. vanden Broucke, Jan Vanthienen, Bart Baesens:
Declarative process discovery with evolutionary computing. 2412-2419 - Andrea Burattin, Alessandro Sperduti, Wil M. P. van der Aalst:
Control-flow discovery from event streams. 2420-2427 - Wei Zhe Low, Jochen De Weerdt, Moe Thandar Wynn, Arthur H. M. ter Hofstede, Wil M. P. van der Aalst, Seppe K. L. M. vanden Broucke:
Perturbing event logs to identify cost reduction opportunities: A genetic algorithm-based approach. 2428-2435 - Luiz G. A. Martins, Ricardo Nobre, Alexandre C. B. Delbem, Eduardo Marques, João M. P. Cardoso:
A clustering-based approach for exploring sequences of compiler optimizations. 2436-2443 - Toru Yoshida, Tomohiro Yoshikawa:
A study on Non-Correspondence in Spread between objective space and design variable space for trajectory designing optimization problem. 2444-2450 - Alexandros Agapitos, Michael O'Neill, Anthony Brabazon:
Ensemble Bayesian Model Averaging in Genetic Programming. 2451-2458
FrE1-3 Estimation of Distribution Algorithms and Machine Learning
- Josu Ceberio, Ekhine Irurozki, Alexander Mendiburu, José Antonio Lozano:
Extending distance-based ranking models in estimation of distribution algorithms. 2459-2466 - Bo Wang, Hua Xu, Yuan Yuan:
Quantum-inspired evolutionary algorithm with linkage learning. 2467-2474 - Shih-Ming Wang, Yu-Fan Tung, Tian-Li Yu:
Investigation on efficiency of optimal mixing on various linkage sets. 2475-2482 - Qiuxiao Liao, Aimin Zhou, Guixu Zhang:
A locally weighted metamodel for pre-selection in evolutionary optimization. 2483-2490 - Yi-En Su, Tian-Li Yu:
Use model building on discretization algorithms for discrete EDAs To work on real-valued problems. 2491-2498 - Ahmed Kattan, Michael Kampouridis, Yew-Soon Ong, Khalid Mehamdi:
Transformation of input space using statistical moments: EA-based approach. 2499-2506
FrE1-4 Evolutionary Computation Theory and Parameter Optimization
- Katherine M. Malan, Andries P. Engelbrecht:
A progressive random walk algorithm for sampling continuous fitness landscapes. 2507-2514 - Fawaz Alanazi, Per Kristian Lehre:
Runtime analysis of selection hyper-heuristics with classical learning mechanisms. 2515-2523 - Christopher Wesley Cleghorn, Andries P. Engelbrecht:
Particle swarm convergence: An empirical investigation. 2524-2530 - Ji Ma, Junqi Zhang, Wei Wang, Jing Yao:
Phase transition Particle Swarm Optimization. 2531-2538 - Kai Zhang, Thomas Weise, Jinlong Li:
Fitness level based adaptive operator selection for cutting stock problems with contiguity. 2539-2546 - Ronald Klazar, Andries P. Engelbrecht:
Parameter optimization by means of statistical quality guides in F-Race. 2547-2552
FrE1-5 Multimodal Optimization and Population Initialization
- Li Feng Zhang, Rong He:
A globally diversifiedisland model PGA for multimodal optimization. 2553-2561 - Marcio Weck Pereira, Guenther Schwedersky Neto, Mauro Roisenberg:
A topological niching covariance matrix adaptation for multimodal optimization. 2562-2569 - Fatemeh Vafaee, György Turán, Peter C. Nelson, Tanya Y. Berger-Wolf:
Balancing the exploration and exploitation in an adaptive diversity guided genetic algorithm. 2570-2577 - Xingguang Peng, Xiaokang Lei, Kun Liu:
Compensate information from multimodal dynamic landscapes: An anti-pathology cooperative coevolutionary algorithm. 2578-2584 - Borhan Kazimipour, Xiaodong Li, A. Kai Qin:
A review of population initialization techniques for evolutionary algorithms. 2585-2592 - Jonathan E. Fieldsend:
Running Up Those Hills: Multi-modal search with the niching migratory multi-swarm optimiser. 2593-2600
FrE2-1 Multi-Objective Evolutionary Algorithms III
- Ling Zhu, Kalyanmoy Deb, Sandeep S. Kulkarni:
Multi-scenario optimization using multi-criterion methods: A case study on Byzantine agreement problem. 2601-2608 - Christopher Smith, John Doherty, Yaochu Jin:
Multi-objective evolutionary recurrent neural network ensemble for prediction of computational fluid dynamic simulations. 2609-2616 - Slawomir Wesolkowski, Nevena Francetic, Stuart C. Grant:
TraDE: Training device selection via multi-objective optimization. 2617-2624 - Abdul Wahid, Xiaoying Gao, Peter Andreae:
Multi-view clustering of web documents using multi-objective genetic algorithm. 2625-2632 - Hiroyuki Masuda, Yusuke Nojima, Hisao Ishibuchi:
Visual examination of the behavior of EMO algorithms for many-objective optimization with many decision variables. 2633-2640 - Wang Hu, Gary G. Yen, Xin Zhang:
Sensitivity analysis of Parallel Cell Coordinate System in Many-objective Particle Swarm Optimization. 2641-2648
FrE2-2 Numerical Optimization
- Renato Dourado Maia, Leandro Nunes de Castro, Walmir Matos Caminhas:
Real-parameter optimization with OptBees. 2649-2655 - Hai Shan, Toshiyuki Yasuda, Kazuhiro Ohkura:
A levy flight-based hybrid artificial bee colony algorithm for solving numerical optimization problems. 2656-2663 - Ke Ding, Ying Tan:
Comparison of random number generators in Particle Swarm Optimization algorithm. 2664-2671 - Lei Chen, Zhe Zheng, Hai-Lin Liu, Shengli Xie:
An evolutionary algorithm based on Covariance Matrix Leaning and Searching Preference for solving CEC 2014 benchmark problems. 2672-2677 - Vitor Leite, Carlos A. Silva, João Claro, João M. C. Sousa:
Optimization of power flow with energy storage using genetic algorithms. 2678-2684 - Zhile Yang, Kang Li, Aoife Foley, Cheng Zhang:
A new self-learning TLBO algorithm for RBF neural modelling of batteries in electric vehicles. 2685-2691
FrE2-3 Coevolution and Collective Behavior
- Hendrik Richter:
Codynamic fitness landscapes of coevolutionary minimal substrates. 2692-2699 - Grant Dick, Xin Yao:
Model representation and cooperative coevolution for finite-state machine evolution. 2700-2707 - Shao-You Wu, Jing-Sin Liu:
Evolutionary path planning of a data mule in wireless sensor network by using shortcuts. 2708-2715 - Muhammad Rezaul Karim, Malek Mouhoub:
Coevolutionary genetic algorithm for variable ordering in CSPs. 2716-2723 - Héctor D. Menéndez, David F. Barrero, David Camacho:
A Co-Evolutionary Multi-Objective approach for a K-adaptive graph-based clustering algorithm. 2724-2731 - Michal Bidlo:
Evolving multiplication as emergent behavior in cellular automata using conditionally matching rules. 2732-2739 - Héctor D. Menéndez, Laura Plaza, David Camacho:
Combining graph connectivity and genetic clustering to improve biomedical summarization. 2740-2747 - Shreyasi Datta, Pratyusha Rakshit, Amit Konar, Atulya K. Nagar:
Selecting the optimal EEG electrode positions for a cognitive task using an Artificial Bee Colony with Adaptive Scale Factor optimization algorithm. 2748-2755 - Soha Ahmed, Mengjie Zhang, Lifeng Peng:
A new GP-based wrapper feature construction approach to classification and biomarker identification. 2756-2763 - Jonathan Byrne, Miguel Nicolau, Anthony Brabazon, Michael O'Neill:
An examination of synchronisation in Artificial Gene Regulatory Networks. 2764-2769 - José Luis Soncco-Álvarez, Mauricio Ayala-Rincón:
Memetic algorithm for sorting unsigned permutations by reversals. 2770-2777 - Gary B. Fogel, Enoch S. Liu, Marco Salemi, Susanna L. Lamers, Michael S. McGrath:
Evolved neural networks for HIV-1 co-receptor identification. 2778-2784 - Ezequiel Di Mario, Iñaki Navarro, Alcherio Martinoli:
Analysis of fitness noise in particle swarm optimization: From robotic learning to benchmark functions. 2785-2792 - Christiaan J. Pretorius, Mathys C. du Plessis, John W. Gonsalves:
A comparison of neural networks and physics models as motion simulators for simple robotic evolution. 2793-2800 - Amiram Moshaiov, Amir Tal:
Family bootstrapping: A genetic transfer learning approach for onsetting the evolution for a set of related robotic tasks. 2801-2808 - Amiram Moshaiov, Omer Abramovich:
Is MO-CMA-ES superior to NSGA-II for the evolution of multi-objective neuro-controllers? 2809-2816 - Rolf Dornberger, Thomas Hanne, Remo Ryter, Michael Stauffer:
Optimization of the picking sequence of an automated storage and retrieval system (AS/RS). 2817-2824 - Khairul Alam, Tapabrata Ray, Sreenatha G. Anavatti:
Practical application of an evolutionary algorithm for the design and construction of a six-inch submarine. 2825-2832
FrE3-1 Large-Scale Problems and Real-World Applications
- Borhan Kazimipour, Mohammad Nabi Omidvar, Xiaodong Li, A. Kai Qin:
A novel hybridization of opposition-based learning and cooperative co-evolutionary for large-scale optimization. 2833-2840 - Ian M. Cooper, Matthew P. John, Rhydian Lewis, Christine L. Mumford, Andrew Olden:
Optimising large scale public transport network design problems using mixed-mode parallel multi-objective evolutionary algorithms. 2841-2848 - Takeshi Watanabe, Tomoaki Tatsukawa, Antonio López Jaimes, Hikaru Aono, Taku Nonomura, Akira Oyama, Kozo Fujii:
Many-objective evolutionary computation for optimization of separated-flow control using a DBD plasma actuator. 2849-2854 - Lin Lin, Mitsuo Gen, Yan Liang:
A hybrid EA for high-dimensional subspace clustering problem. 2855-2860 - Mingyu Du, Xiujuan Lei, Zhenqiang Wu:
A simplified glowworm swarm optimization algorithm. 2861-2868 - Bingdong Li, Jinlong Li, Ke Tang, Xin Yao:
An improved Two Archive Algorithm for Many-Objective optimization. 2869-2876 - Yang Xiao, Martin A. Trefzer, James Alfred Walker, Simon J. Bale, Andy M. Tyrrell:
Two step evolution strategy for device motif BSIM model parameter extraction. 2877-2884 - Markus Wagner:
Maximising axiomatization coverage and minimizing regression testing time. 2885-2892 - Yu Dan Huo, Zhihua Cai, Wenyin Gong, Qin Liu:
A new adaptive Kalman filter by combining evolutionary algorithm and fuzzy inference system. 2893-2900 - Lukás Sekanina, Ondrej Ptak, Zdenek Vasícek:
Cartesian genetic programming as local optimizer of logic networks. 2901-2908 - Sarah Donne, Miguel Nicolau, Christopher J. Bean, Michael O'Neill:
Wave height quantification using land based seismic data with grammatical evolution. 2909-2916 - Feng Xie, Andy Song, Vic Ciesielski:
Genetic programming based activity recognition on a smartphone sensory data benchmark. 2917-2924
FrE3-3 Swarm Intelligence
- Andreas Janecek, Tobias Jordan, Fernando Buarque de Lima Neto:
Swarm/evolutionary intelligence for agent-based social simulation. 2925-2932 - Drahoslav Zan, Jirí Jaros:
Solving the Multidimensional Knapsack Problem using a CUDA accelerated PSO. 2933-2939 - Thomas A. Runkler, James C. Bezdek:
Multidimensional scaling with multiswarming. 2940-2946 - Magdalena Metlicka, Donald Davendra:
Chaos-driven Discrete Artificial Bee Colony. 2947-2954 - Shafiq Alam, Gillian Dobbie, Yun Sing Koh, Patricia Riddle:
Web bots detection using Particle Swarm Optimization based clustering. 2955-2962 - Chung-Wei Wu, Tsung-Che Chiang, Li-Chen Fu:
An ant colony optimization algorithm for multi-objective clustering in mobile ad hoc networks. 2963-2968
FrE3-4 Heuristics, Metaheuristics and Hyper-Heuristics II
- Steven Adriaensen, Tim Brys, Ann Nowé:
Designing reusable metaheuristic methods: A semi-automated approach. 2969-2976 - Yaser Ali Enaya, Kalyanmoy Deb:
Network path optimization under dynamic conditions. 2977-2984 - Oswyn Brent, Dhananjay R. Thiruvady, Antonio Gómez-Iglesias, Rodolfo García-Flores:
A parallel Lagrangian-ACO heuristic for project scheduling. 2985-2991 - Luca Masi, Massimiliano Vasile:
A multidirectional Physarum solver for the automated design of space trajectories. 2992-2999 - Jing Xie, Yi Mei, Andreas T. Ernst, Xiaodong Li, Andy Song:
A genetic programming-based hyper-heuristic approach for storage location assignment problem. 3000-3007 - Ritambhar Burman, Swagatam Das, Zeeshanul Haque, Athanasios V. Vasilakos, Soumyadeep Chakrabarti:
The Monarchy Driven Optimization technique. 3008-3015
FrE3-5 Real-World Applications II
- Nanlin Jin, Xin Yao:
Heuristic optimization for software project management with impacts of team efficiency. 3016-3023 - Qiao Wang, Hao Li, Maoguo Gong, Linzhi Su, Licheng Jiao:
A multiobjective optimization method based on MOEA/D and fuzzy clustering for change detection in SAR images. 3024-3029 - Pei-Chuan Tsai, Chih-Ming Chen, Ying-Ping Chen:
A novel evaluation function for LT codes degree distribution optimization. 3030-3035 - Isaac Triguero, Daniel Peralta, Jaume Bacardit, Salvador García, Francisco Herrera:
A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation. 3036-3043 - Liang Gu, Peng Yang, Yongqiang Dong:
An dynamic-weighted collaborative filtering approach to address sparsity and adaptivity issues. 3044-3050 - Stuart G. Reid, Katherine M. Malan, Andries P. Engelbrecht:
Carry trade portfolio optimization using particle swarm optimization. 3051-3058
FrE4-1 Constraint-Handling and Preference-Handling
- Mohammad Reza Bonyadi, Zbigniew Michalewicz:
On the edge of feasibility: A case study of the particle swarm optimizer. 3059-3066 - Wei Dong, Sanyou Zeng, Yong Wu, Dayue Guo, Lunan Qiao, Zhiqun Liu:
Linear sparse arrays designed by dynamic constrained multi-objective evolutionary algorithm. 3067-3072 - Chengyong Si, Jianqiang Shen, Xuan Zou, Lei Wang, Qidi Wu:
Mapping constrained optimization problems to penalty parameters: An empirical study. 3073-3079 - Prashant Singh, Ivo Couckuyt, Francesco Ferranti, Tom Dhaene:
A constrained multi-objective surrogate-based optimization algorithm. 3080-3087 - Shayan Poursoltan, Frank Neumann:
A Feature-based analysis on the impact of linear constraints for ε-constrained differential evolution. 3088-3095 - Ki-Baek Lee, Jong-Hwan Kim:
DMOPSO: Dual multi-objective particle swarm optimization. 3096-3102
FrE4-2 Particle Swarm Optimization
- Ran Cheng, Yaochu Jin:
Demonstrator selection in a social learning particle swarm optimizer. 3103-3110 - Bach Hoai Nguyen, Bing Xue, Ivy Liu, Mengjie Zhang:
Filter based backward elimination in wrapper based PSO for feature selection in classification. 3111-3118 - Bing Xue, A. Kai Qin, Mengjie Zhang:
An archive based particle swarm optimisation for feature selection in classification. 3119-3126 - Alexandre Sawczuk da Silva, Hui Ma, Mengjie Zhang:
A graph-based Particle Swarm Optimisation approach to QoS-aware web service composition and selection. 3127-3134 - Medria K. D. Hardhienata, Valery A. Ugrinovskii, Kathryn E. Merrick:
Task allocation under communication constraints using motivated particle swarm optimization. 3135-3142 - Andrew W. McNabb, Kevin D. Seppi:
Serial PSO results are irrelevant in a multi-core parallel world. 3143-3150
Special Session: FrE4-3 Dynamic Multi-Objective Optimization
- Mardé Helbig, Andries P. Engelbrecht:
Heterogeneous dynamic vector evaluated particle swarm optimisation for dynamic multi-objective optimisation. 3151-3159 - Min Liu, Jinhua Zheng, Junnian Wang, Yuzhen Liu, Lei Jiang:
An adaptive diversity introduction method for dynamic evolutionary multiobjective optimization. 3160-3167 - Radhia Azzouz, Slim Bechikh, Lamjed Ben Said:
A Multiple Reference Point-based evolutionary algorithm for dynamic multi-objective optimization with undetectable changes. 3168-3175 - Pratyusha Rakshit, Amit Konar, Atulya K. Nagar:
Artificial Bee Colony induced multi-objective optimization in presence of noise. 3176-3183 - Timo Friedrich, Stefan Menzel:
A cascaded evolutionary multi-objective optimization for solving the unbiased universal electric motor family problem. 3184-3191 - Subhodip Biswas, Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Carlos A. Coello Coello:
Evolutionary multiobjective optimization in dynamic environments: A set of novel benchmark functions. 3192-3199
Special Session: FrE4-4 Fireworks Algorithms for Optimization
- Bei Zhang, Min-Xia Zhang, Yu-Jun Zheng:
A hybrid biogeography-based optimization and fireworks algorithm. 3200-3206 - Jianhua Liu, Shaoqiu Zheng, Ying Tan:
Analysis on global convergence and time complexity of fireworks algorithm. 3207-3213 - Junzhi Li, Shaoqiu Zheng, Ying Tan:
Adaptive Fireworks Algorithm. 3214-3221 - Shaoqiu Zheng, Andreas Janecek, Junzhi Li, Ying Tan:
Dynamic search in fireworks algorithm. 3222-3229 - Shi Cheng, Yuhui Shi, Quande Qin, Tiew On Ting, Ruibin Bai:
Maintaining population diversity in brain storm optimization algorithm. 3230-3237 - Chao Yu, Lingchen Kelley, Shaoqiu Zheng, Ying Tan:
Fireworks algorithm with differential mutation for solving the CEC 2014 competition problems. 3238-3245
FrE4-5 Real-World Applications III
- Ivan Zelinka, Donald Davendra, Jouni Lampinen, Roman Senkerik, Michal Pluhacek:
Evolutionary algorithms dynamics and its hidden complex network structures. 3246-3251 - Masaki Suzuki, Setsuo Tsuruta, Rainer Knauf, Yoshitaka Sakurai:
Knowledge Acquisition issues for intelligent route optimization by evolutionary computation. 3252-3257 - Matheus da Silva Menezes, Marco César Goldbarg, Elizabeth Ferreira Gouvea Goldbarg:
A memetic algorithm for the prize-collecting Traveling Car Renter Problem. 3258-3265 - Mengyuan Wu, Ammar Karkar, Bo Liu, Alex Yakovlev, Georges G. E. Gielen, Vic Grout:
Network on Chip optimization based on surrogate model assisted evolutionary algorithms. 3266-3271 - Xin-Lan Liao, Chih-Hung Chien, Chuan-Kang Ting:
A genetic algorithm for the minimum latency pickup and delivery problem. 3272-3279 - Michal Weiszer, Jun Chen, Stefan Ravizza, Jason A. D. Atkin, Paul J. Stewart:
A heuristic approach to greener airport ground movement. 3280-3286
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