- Yiming Peng, Hisao Ishibuchi:
Niching Diversity Estimation for Multi-modal Multi-objective Optimization. EMO 2021: 323-334 - Ke Shang, Hisao Ishibuchi, Longcan Chen, Weiyu Chen, Lie Meng Pang:
Improving the Efficiency of R2HCA-EMOA. EMO 2021: 115-125 - Qite Yang
, Zhenkun Wang
, Hisao Ishibuchi:
It Is Hard to Distinguish Between Dominance Resistant Solutions and Extremely Convex Pareto Optimal Solutions. EMO 2021: 3-14 - Jinyuan Zhang, Hisao Ishibuchi:
Multiobjective Optimization with Fuzzy Classification-Assisted Environmental Selection. EMO 2021: 580-592 - Yifan Wang, Hisao Ishibuchi, Jihua Zhu, Yaxiong Wang, Tao Dai:
Unsupervised Fuzzy Neural Network for Image Clustering. FUZZ-IEEE 2021: 1-6 - Linjun He
, Hisao Ishibuchi, Dipti Srinivasan:
Metric for evaluating normalization methods in multiobjective optimization. GECCO 2021: 403-411 - Ke Shang, Hisao Ishibuchi, Weiyu Chen:
Greedy approximated hypervolume subset selection for many-objective optimization. GECCO 2021: 448-456 - Ke Shang, Hisao Ishibuchi, Yang Nan:
Distance-based subset selection revisited. GECCO 2021: 439-447 - Jinyuan Zhang, Hisao Ishibuchi, Ke Shang, Linjun He
, Lie Meng Pang, Yiming Peng:
Environmental selection using a fuzzy classifier for multiobjective evolutionary algorithms. GECCO 2021: 485-492 - Weiyu Chen, Hisao Ishibuchi, Ke Shang:
Clustering-Based Subset Selection in Evolutionary Multiobjective Optimization. SMC 2021: 468-475 - Yiping Liu, Liting Xu, Yuyan Han, Naoki Masuyama, Yusuke Nojima
, Hisao Ishibuchi, Gary G. Yen:
Multi-Modal Multi-Objective Traveling Salesman Problem and its Evolutionary Optimizer. SMC 2021: 770-777 - Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He:
Improving Local Search Hypervolume Subset Selection in Evolutionary Multi-objective Optimization. SMC 2021: 751-757 - Lie Meng Pang, Ke Shang, Longcan Chen, Hisao Ishibuchi, Weiyu Chen:
Proposal of a New Test Problem for Large-Scale Multi- and Many-Objective Optimization. SMC 2021: 484-491 - Yiming Peng, Hisao Ishibuchi:
A Decomposition-based Hybrid Evolutionary Algorithm for Multi-modal Multi-objective Optimization. SMC 2021: 160-167 - Ke Shang, Hisao Ishibuchi, Lie Meng Pang, Yang Nan:
Reference Point Specification for Greedy Hypervolume Subset Selection. SMC 2021: 168-175 - Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Ke Shang:
Periodical Weight Vector Update Using an Unbounded External Archive for Decomposition-Based Evolutionary Multi-Objective Optimization. SSCI 2021: 1-8 - Cheng Gong, Lie Meng Pang, Hisao Ishibuchi:
Initial Population Generation Method and its Effects on MOEA/D. SSCI 2021: 1-8 - 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 [contents] - Yiming Peng, Hisao Ishibuchi:
Niching Diversity Estimation for Multi-modal Multi-objective Optimization. CoRR abs/2102.00383 (2021) - Weiyu Chen, Hisao Ishibuchi, Ke Shang:
Fast Greedy Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization. CoRR abs/2102.00941 (2021) - Naoki Masuyama, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi:
Multi-label Classification via Adaptive Resonance Theory-based Clustering. CoRR abs/2103.01511 (2021) - Ke Shang, Hisao Ishibuchi, Weiyu Chen, Yang Nan, Weiduo Liao:
Hypervolume-Optimal μ-Distributions on Line/Plane-based Pareto Fronts in Three Dimensions. CoRR abs/2104.09736 (2021) - Rahul Kumar Sevakula, Nishchal Kumar Verma, Hisao Ishibuchi:
On fine-tuning of Autoencoders for Fuzzy rule classifiers. CoRR abs/2106.11182 (2021) - Weiyu Chen, Hisao Ishibuchi, Ke Shang:
Clustering-Based Subset Selection in Evolutionary Multiobjective Optimization. CoRR abs/2108.08453 (2021) - 2020
- Yang Nan
, Ke Shang
, Hisao Ishibuchi
, Linjun He:
Reverse Strategy for Non-Dominated Archiving. IEEE Access 8: 119458-119469 (2020) - Lie Meng Pang
, Hisao Ishibuchi
, Ke Shang
:
Decomposition-Based Multi-Objective Evolutionary Algorithm Design Under Two Algorithm Frameworks. IEEE Access 8: 163197-163208 (2020) - Lie Meng Pang
, Hisao Ishibuchi
, Ke Shang
:
NSGA-II With Simple Modification Works Well on a Wide Variety of Many-Objective Problems. IEEE Access 8: 190240-190250 (2020) - Lie Meng Pang
, Kai Meng Tay
, Chee Peng Lim
, Hisao Ishibuchi
:
A New Monotone Fuzzy Rule Relabeling Framework With Application to Failure Mode and Effect Analysis Methodology. IEEE Access 8: 144908-144930 (2020) - Linjun He
, Ke Shang, Hisao Ishibuchi:
Simultaneous use of two normalization methods in decomposition-based multi-objective evolutionary algorithms. Appl. Soft Comput. 92: 106316 (2020) - Ryoji Tanabe
, Hisao Ishibuchi:
An easy-to-use real-world multi-objective optimization problem suite. Appl. Soft Comput. 89: 106078 (2020)