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ORCID11th EMO 2021: Shenzhen, China
- Hisao Ishibuchi
, Qingfu Zhang, Ran Cheng, Ke Li, Hui Li, Handing Wang, Aimin Zhou:
Evolutionary Multi-Criterion Optimization - 11th International Conference, EMO 2021, Shenzhen, China, March 28-31, 2021, Proceedings. Lecture Notes in Computer Science 12654, Springer 2021, ISBN 978-3-030-72061-2
Theory
- Qite Yang, Zhenkun Wang, Hisao Ishibuchi:
It Is Hard to Distinguish Between Dominance Resistant Solutions and Extremely Convex Pareto Optimal Solutions. 3-14 - Shouyong Jiang, Jinglei Guo, Bashar Alhnaity, Qingyang Zhang:
On Analysis of Irregular Pareto Front Shapes. 15-25 - Hao Wang, Carlos Ignacio Hernández Castellanos, Tome Eftimov:
On Statistical Analysis of MOEAs with Multiple Performance Indicators. 26-37
Algorithms
- Cheng He, Ran Cheng:
Population Sizing of Evolutionary Large-Scale Multiobjective Optimization. 41-52 - Marius Bommert, Günter Rudolph:
Kernel Density Estimation for Reliable Biobjective Solution of Stochastic Problems. 53-64 - Hui Li, Yuxiang Shui, Jianyong Sun, Qingfu Zhang:
Approximating Pareto Fronts in Evolutionary Multiobjective Optimization with Large Population Size. 65-76 - Genghui Li, Qingfu Zhang:
Multitask Feature Selection for Objective Reduction. 77-88 - 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. 89-101 - 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. 102-114 - Ke Shang, Hisao Ishibuchi, Longcan Chen, Weiyu Chen, Lie Meng Pang:
Improving the Efficiency of R2HCA-EMOA. 115-125 - Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato:
Pareto Front Estimation Using Unit Hyperplane. 126-138 - Anirudh Suresh, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Towards Multi-objective Co-evolutionary Problem Solving. 139-151 - Jingjing Chen, Qingfu Zhang, Genghui Li:
MOEA/D for Multiple Multi-objective Optimization. 152-163 - Lie Meng Pang, Hisao Ishibuchi, Ke Shang:
Using a Genetic Algorithm-Based Hyper-Heuristic to Tune MOEA/D for a Set of Benchmark Test Problems. 164-177 - Eduardo G. Carrano, Felipe Campelo, Ricardo H. C. Takahashi:
Diversity-Driven Selection Operator for Combinatorial Optimization. 178-190
Dynamic Multi-objective Optimization
- Min Liu, Diankun Chen, Qiongbing Zhang, Lei Jiang:
An Online Machine Learning-Based Prediction Strategy for Dynamic Evolutionary Multi-objective Optimization. 193-204 - Chang Shao, Qi Zhao, Yuhui Shi, Jing Jiang:
Generalized Test Suite for Continuous Dynamic Multi-objective Optimization. 205-217 - Ruochen Liu, Nanxi Li, Luyao Peng, Kai Wu:
A Special Point and Transfer Component Analysis Based Dynamic Multi-objective Optimization Algorithm. 218-231
Constrained Multi-objective Optimization
- Xinyu Shan, Ke Li:
An Improved Two-Archive Evolutionary Algorithm for Constrained Multi-objective Optimization. 235-247 - Zhun Fan, Zhi Yang, Yajuan Tang, Wenji Li, Biao Xu, Zhaojun Wang, Fuzan Sun, Zhoubin Long, Guijie Zhu:
An Improved Epsilon Method with M2M for Solving Imbalanced CMOPs with Simultaneous Convergence-Hard and Diversity-Hard Constraints. 248-256 - Julian Blank, Kalyanmoy Deb:
Constrained Bi-objective Surrogate-Assisted Optimization of Problems with Heterogeneous Evaluation Times: Expensive Objectives and Inexpensive Constraints. 257-269 - Roy de Winter, Bas van Stein, Thomas Bäck:
SAMO-COBRA: A Fast Surrogate Assisted Constrained Multi-objective Optimization Algorithm. 270-282 - Yi Chen, Hemant Kumar Singh, Aimin Zhou, Tapabrata Ray:
A Fast Converging Evolutionary Algorithm for Constrained Multiobjective Portfolio Optimization. 283-295 - Lianghao Li, Cheng He, Ran Cheng, Linqiang Pan:
Manifold Learning Inspired Mating Restriction for Evolutionary Constrained Multiobjective Optimization. 296-307
Multi-modal Optimization
- Pelin Aspar, Pascal Kerschke, Vera Steinhoff, Heike Trautmann, Christian Grimme:
Multi3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-objective Space by Means of Multiobjectivization. 311-322 - Yiming Peng, Hisao Ishibuchi:
Niching Diversity Estimation for Multi-modal Multi-objective Optimization. 323-334 - Mahrokh Javadi, Sanaz Mostaghim:
Using Neighborhood-Based Density Measures for Multimodal Multi-objective Optimization. 335-345
Many-objective Optimization
- 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. 349-361 - Leonardo Lai, Lorenzo Fiaschi, Marco Cococcioni, Kalyanmoy Deb:
Handling Priority Levels in Mixed Pareto-Lexicographic Many-Objective Optimization Problems. 362-374 - Jens Weise, Sanaz Mostaghim:
Many-Objective Pathfinding Based on Fréchet Similarity Metric. 375-386 - Diana Cristina Valencia-Rodríguez, Carlos A. Coello Coello:
The Influence of Swarm Topologies in Many-Objective Optimization Problems. 387-398
Performance Evaluations and Empirical Studies
- Jesús Guillermo Falcón-Cardona, Edgar Covantes Osuna, Carlos A. Coello Coello:
An Overview of Pair-Potential Functions for Multi-objective Optimization. 401-412 - Zhenkun Wang, Jingda Deng, Qingfu Zhang, Qite Yang:
On the Parameter Setting of the Penalty-Based Boundary Intersection Method in MOEA/D. 413-423 - Yajie Zhang, Ye Tian, Xingyi Zhang:
A Comparison Study of Evolutionary Algorithms on Large-Scale Sparse Multi-objective Optimization Problems. 424-437
EMO and Machine Learning
- Meng Xu, Qingfu Zhang, Jianping Wang:
Discounted Sampling Policy Gradient for Robot Multi-objective Visual Control. 441-452 - Jean Rosenfeld, Dimitri Van Assche, Yves De Smet:
Lexicographic Constrained Multicriteria Ordered Clustering. 453-464 - Tom Den Ottelander, Arkadiy Dushatskiy, Marco Virgolin, Peter A. N. Bosman:
Local Search is a Remarkably Strong Baseline for Neural Architecture Search. 465-479 - Yumeng Cao, Yaqing Hou, Liang Feng, Hongwei Ge, Qiang Zhang, Xiaopeng Wei:
A Study on Realtime Task Selection Based on Credit Information Updating in Evolutionary Multitasking. 480-491 - Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu:
Multi-objective Neural Architecture Search with Almost No Training. 492-503 - Adán José García, Julia Handl:
On the Interaction Between Distance Functions and Clustering Criteria in Multi-objective Clustering. 504-515
Surrogate Modeling and Expensive Optimization
- Bing Wang, Hemant Kumar Singh, Tapabrata Ray:
Investigating Normalization Bounds for Hypervolume-Based Infill Criterion for Expensive Multiobjective Optimization. 519-530 - Zhenshou Song, Handing Wang, Hongbin Xu:
Pareto-Based Bi-indicator Infill Sampling Criterion for Expensive Multiobjective Optimization. 531-542 - Fei Liu, Qingfu Zhang, Zhonghua Han:
MOEA/D with Gradient-Enhanced Kriging for Expensive Multiobjective Optimization. 543-554 - Felipe Vaz, Yuri Cossich Lavinas, Claus Aranha, Marcelo Ladeira:
Exploring Constraint Handling Techniques in Real-World Problems on MOEA/D with Limited Budget of Evaluations. 555-566 - Jianqing Lin, Cheng He, Ran Cheng:
Dimension Dropout for Evolutionary High-Dimensional Expensive Multiobjective Optimization. 567-579 - Jinyuan Zhang, Hisao Ishibuchi:
Multiobjective Optimization with Fuzzy Classification-Assisted Environmental Selection. 580-592 - Xiao-ke Liang, Yong Zhang, Dun-Wei Gong:
Surrogate-Assisted Multi-objective Particle Swarm Optimization for Building Energy Saving Design. 593-604 - Haokai Hong, Kai Ye, Min Jiang, Kay Chen Tan:
Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model. 605-616
MCDM and Interactive EMO
- Bekir Afsar, Kaisa Miettinen, Ana Belen Ruiz:
An Artificial Decision Maker for Comparing Reference Point Based Interactive Evolutionary Multiobjective Optimization Methods. 619-631 - Lennart Schäpermeier, Christian Grimme, Pascal Kerschke:
To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapes. 632-644 - Deepak Nagar, Palaniappan Ramu, Kalyanmoy Deb:
Interpretable Self-Organizing Maps (iSOM) for Visualization of Pareto Front in Multiple Objective Optimization. 645-655
Applications
- Yi Xiang, Xue Peng, Xiaoyun Xia, Xianbing Meng, Sizhe Li, Han Huang:
An Investigation of Decomposition-Based Metaheuristics for Resource-Constrained Multi-objective Feature Selection in Software Product Lines. 659-671 - Changwu Huang, Lianghao Li, Cheng He, Ran Cheng, Xin Yao:
Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation. 672-683 - Jiangjiao Xu, Ke Li, Mohammad Abusara:
Multi-objective Reinforcement Learning Based Multi-microgrid System Optimisation Problem. 684-696 - Kai Wu, Jing Liu, Chao Wang, Kaixin Yuan:
Pareto Optimization for Influence Maximization in Social Networks. 697-707 - Joseph Billingsley, Ke Li, Wang Miao, Geyong Min, Nektarios Georgalas:
Parallel Algorithms for the Multiobjective Virtual Network Function Placement Problem. 708-720 - Tuong Manh Vu, Eli Davies, Charlotte Buckley, Alan Brennan, Robin C. Purshouse:
Using Multi-objective Grammar-Based Genetic Programming to Integrate Multiple Social Theories in Agent-Based Modeling. 721-733 - Tianqi Gao, Wenyuan Qiao, Hao Li, Maoguo Gong, Gengchao Li, Jie Min:
Change Detection in SAR Images Based on Evolutionary Multiobjective Optimization and Superpixel Segmentation. 734-745 - Si-Chen Liu, Chunhua Chen, Zhi-Hui Zhan, Jun Zhang:
Multi-objective Emergency Resource Dispatch Based on Coevolutionary Multiswarm Particle Swarm Optimization. 746-758 - Tenghui Hu, Xianpeng Wang, Yao Wang, Zhiming Dong, Xinyu Zhuang:
Prediction of Blast Furnace Temperature Based on Evolutionary Optimization. 759-768 - Dawei Ding, Haibo Zhang, Xianheng Ding, Xiuyin Zhang:
Multiobjective Optimization Design of Broadband Dual-Polarized Base Station Antenna. 769-778
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