- Takato Kinoshita, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi:
Analytical Methods to Separately Evaluate Convergence and Diversity for Multi-objective Optimization. MIC 2022: 172-186 - Hisao Ishibuchi, Yiming Peng, Lie Meng Pang:
Multi-Modal Multi-Objective Test Problems with an Infinite Number of Equivalent Pareto Sets. CEC 2022: 1-8 - Yuichi Omozaki, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi:
Evolutionary Multi-Objective Multi-Tasking for Fuzzy Genetics-Based Machine Learning in Multi-Label Classification. FUZZ-IEEE 2022: 1-8 - Hisao Ishibuchi, Lie Meng Pang, Ke Shang:
Difficulties in fair performance comparison of multiobjective evolutionary algorithms. GECCO Companion 2022: 937-957 - Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi, Zongying Liu:
Adaptive Resonance Theory-based Clustering for Handling Mixed Data. IJCNN 2022: 1-8 - Longcan Chen, Lie Meng Pang, Hisao Ishibuchi:
New Solution Creation Operator in MOEA/D for Faster Convergence. PPSN (2) 2022: 234-246 - Yiming Peng, Hisao Ishibuchi:
Dynamic Multi-modal Multi-objective Optimization: A Preliminary Study. PPSN (2) 2022: 138-150 - Ke Shang, Weiduo Liao, Hisao Ishibuchi:
HVC-Net: Deep Learning Based Hypervolume Contribution Approximation. PPSN (1) 2022: 414-426 - Tianye Shu, Ke Shang, Yang Nan, Hisao Ishibuchi:
Direction Vector Selection for R2-Based Hypervolume Contribution Approximation. PPSN (2) 2022: 110-123 - Hisao Ishibuchi, Chee-Keong Kwoh, Ah-Hwee Tan, Dipti Srinivasan, Chunyan Miao, Anupam Trivedi, Keeley A. Crockett:
IEEE Symposium Series on Computational Intelligence, SSCI 2022, Singapore, December 4-7, 2022. IEEE 2022, ISBN 978-1-6654-8768-9 [contents] - Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang:
Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization. CoRR abs/2201.06700 (2022) - Ke Shang, Tianye Shu, Hisao Ishibuchi:
Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation. CoRR abs/2201.06707 (2022) - Naoki Masuyama, Narito Amako, Yuna Yamada, Yusuke Nojima, Hisao Ishibuchi:
Adaptive Resonance Theory-based Topological Clustering with a Divisive Hierarchical Structure Capable of Continual Learning. CoRR abs/2201.10713 (2022) - Ke Shang, Weiyu Chen, Weiduo Liao, Hisao Ishibuchi:
HV-Net: Hypervolume Approximation based on DeepSets. CoRR abs/2203.02185 (2022) - Naoki Masuyama, Itsuki Tsubota, Yusuke Nojima, Hisao Ishibuchi:
Class-wise Classifier Design Capable of Continual Learning using Adaptive Resonance Theory-based Topological Clustering. CoRR abs/2203.09879 (2022) - Takato Kinoshita, Naoki Masuyama, Yiping Liu, Yusuke Nojima, Hisao Ishibuchi:
Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-based Clustering for Many-objective Optimization. CoRR abs/2204.10756 (2022) - Wei Liu, Rui Wang, Tao Zhang, Kaiwen Li, Wenhua Li, Hisao Ishibuchi:
Hybridization of evolutionary algorithm and deep reinforcement learning for multi-objective orienteering optimization. CoRR abs/2206.10464 (2022) - Tianye Shu, Ke Shang, Hisao Ishibuchi, Yang Nan:
Effects of Archive Size on Computation Time and Solution Quality for Multi-Objective Optimization. CoRR abs/2209.03100 (2022) - 2021
- Xinye Cai, Yushun Xiao, Miqing Li, Han Hu, Hisao Ishibuchi, Xiaoping Li:
A Grid-Based Inverted Generational Distance for Multi/Many-Objective Optimization. IEEE Trans. Evol. Comput. 25(1): 21-34 (2021) - Jesús Guillermo Falcón-Cardona, Hisao Ishibuchi, Carlos A. Coello Coello, Michael Emmerich:
On the Effect of the Cooperation of Indicator-Based Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 25(4): 681-695 (2021) - Linjun He, Hisao Ishibuchi, Anupam Trivedi, Handing Wang, Yang Nan, Dipti Srinivasan:
A Survey of Normalization Methods in Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 25(6): 1028-1048 (2021) - Wenhua Li, Tao Zhang, Rui Wang, Hisao Ishibuchi:
Weighted Indicator-Based Evolutionary Algorithm for Multimodal Multiobjective Optimization. IEEE Trans. Evol. Comput. 25(6): 1064-1078 (2021) - Ke Shang, Hisao Ishibuchi, Linjun He, Lie Meng Pang:
A Survey on the Hypervolume Indicator in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 25(1): 1-20 (2021) - Suhang Gu, Yusuke Nojima, Hisao Ishibuchi, Shitong Wang:
Fuzzy Style K-Plane Clustering. IEEE Trans. Fuzzy Syst. 29(6): 1518-1532 (2021) - Bin Qin, Yusuke Nojima, Hisao Ishibuchi, Shitong Wang:
Realizing Deep High-Order TSK Fuzzy Classifier by Ensembling Interpretable Zero-Order TSK Fuzzy Subclassifiers. IEEE Trans. Fuzzy Syst. 29(11): 3441-3455 (2021) - Te Zhang, Zhaohong Deng, Hisao Ishibuchi, Lie Meng Pang:
Robust TSK Fuzzy System Based on Semisupervised Learning for Label Noise Data. IEEE Trans. Fuzzy Syst. 29(8): 2145-2157 (2021) - Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Ke Shang:
Periodical Generation Update using an Unbounded External Archive for Multi-Objective Optimization. CEC 2021: 1912-1920 - Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He:
A Two-stage Hypervolume Contribution Approximation Method Based on R2 Indicator. CEC 2021: 2468-2475 - Lie Meng Pang, Hisao Ishibuchi, Ke Shang:
Using a Genetic Algorithm-based Hyper-heuristic to Tune MOEA/D for a Set of Various Test Problems. CEC 2021: 1486-1494 - 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. EMO 2021: 164-177