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- Hisao Ishibuchi
Southern University of Science and Technology, Shenzhen, China
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Publication search results
found 615 matches
- 2024
- Kangnian Lin, Genghui Li, Qingyan Li, Zhenkun Wang, Hisao Ishibuchi, Hu Zhang:
Multi-objective evolutionary algorithm with evolutionary-status-driven environmental selection. Inf. Sci. 669: 120551 (2024) - Yiping Liu, Liting Xu, Yuyan Han, Xiangxiang Zeng, Gary G. Yen, Hisao Ishibuchi:
Evolutionary Multimodal Multiobjective Optimization for Traveling Salesman Problems. IEEE Trans. Evol. Comput. 28(2): 516-530 (2024) - Ke Shang, Tianye Shu, Hisao Ishibuchi:
Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation. IEEE Trans. Evol. Comput. 28(1): 105-116 (2024) - Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang:
Analysis of Real-World Constrained Multi-Objective Problems and Performance Comparison of Multi-Objective Algorithms. GECCO 2024 - Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang:
Gradient-Guided Local Search for IGD/IGDPlus Subset Selection. GECCO 2024 - Longcan Chen, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi:
Enhancing the Convergence Ability of Evolutionary Multi-objective Optimization Algorithms with Momentum. GECCO 2024 - Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang:
Heuristic Initialization and Knowledge-based Mutation for Large-Scale Multi-Objective 0-1 Knapsack Problems. GECCO 2024 - Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang:
Performance of NSGA-III on Multi-objective Combinatorial Optimization Problems Heavily Depends on Its Implementations. GECCO 2024 - Rongguang Ye, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi:
Evolutionary Preference Sampling for Pareto Set Learning. GECCO 2024 - Chanjuan Liu, Shike Ge, Zhihan Chen, Wenbin Pei, Enqiang Zhu, Yi Mei, Hisao Ishibuchi:
Improving Critical Node Detection Using Neural Network-based Initialization in a Genetic Algorithm. CoRR abs/2402.00404 (2024) - Rongguang Ye, Lei Chen, Weiduo Liao, Jinyuan Zhang, Hisao Ishibuchi:
Data-Driven Preference Sampling for Pareto Front Learning. CoRR abs/2404.08397 (2024) - Rongguang Ye, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi:
Evolutionary Preference Sampling for Pareto Set Learning. CoRR abs/2404.08414 (2024) - Tianye Shu, Ke Shang, Cheng Gong, Yang Nan, Hisao Ishibuchi:
Learning Pareto Set for Multi-Objective Continuous Robot Control. CoRR abs/2406.18924 (2024) - 2023
- 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. IEEE Access 11: 126066-126086 (2023) - Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang:
Benchmarking large-scale subset selection in evolutionary multi-objective optimization. Inf. Sci. 622: 755-770 (2023) - Yifan Wang, Hisao Ishibuchi, Meng Joo Er, Jihua Zhu:
Unsupervised multilayer fuzzy neural networks for image clustering. Inf. Sci. 622: 682-709 (2023) - Naoki Masuyama, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi:
Multi-Label Classification via Adaptive Resonance Theory-Based Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8696-8712 (2023) - Jesús Guillermo Falcón-Cardona, Edgar Covantes Osuna, Carlos A. Coello Coello, Hisao Ishibuchi:
On the utilization of pair-potential energy functions in multi-objective optimization. Swarm Evol. Comput. 79: 101308 (2023) - Linjun He, Auraham Camacho, Yang Nan, Anupam Trivedi, Hisao Ishibuchi, Dipti Srinivasan:
Effects of corner weight vectors on the performance of decomposition-based multiobjective algorithms. Swarm Evol. Comput. 79: 101305 (2023) - Lie Meng Pang, Hisao Ishibuchi, Ke Shang:
Use of Two Penalty Values in Multiobjective Evolutionary Algorithm Based on Decomposition. IEEE Trans. Cybern. 53(11): 7174-7186 (2023) - Linjun He, Ke Shang, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan:
Relation Between Objective Space Normalization and Weight Vector Scaling in Decomposition-Based Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 27(5): 1177-1191 (2023) - Wei Liu, Rui Wang, Tao Zhang, Kaiwen Li, Wenhua Li, Hisao Ishibuchi, Xiangke Liao:
Hybridization of Evolutionary Algorithm and Deep Reinforcement Learning for Multiobjective Orienteering Optimization. IEEE Trans. Evol. Comput. 27(5): 1260-1274 (2023) - Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He:
An Improved Local Search Method for Large-Scale Hypervolume Subset Selection. IEEE Trans. Evol. Comput. 27(6): 1690-1704 (2023) - Ke Shang, Weiyu Chen, Weiduo Liao, Hisao Ishibuchi:
HV-Net: Hypervolume Approximation Based on DeepSets. IEEE Trans. Evol. Comput. 27(4): 1154-1160 (2023) - Tianye Shu, Ke Shang, Hisao Ishibuchi, Yang Nan:
Effects of Archive Size on Computation Time and Solution Quality for Multiobjective Optimization. IEEE Trans. Evol. Comput. 27(4): 1145-1153 (2023) - Jinyuan Zhang, Linjun He, Hisao Ishibuchi:
Dual-Fuzzy-Classifier-Based Evolutionary Algorithm for Expensive Multiobjective Optimization. IEEE Trans. Evol. Comput. 27(6): 1575-1589 (2023) - Rui Wang, Lining Xing, Maoguo Gong, Ponnuthurai Nagaratnam Suganthan, Hisao Ishibuchi:
Guest Editorial Special Issue on Deep Reinforcement Learning for Optimization: Methods and Application. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 981-982 (2023) - Yang Nan, Tianye Shu, Hisao Ishibuchi:
Effects of External Archives on the Performance of Multi-Objective Evolutionary Algorithms on Real-World Problems. CEC 2023: 1-8 - Linjun He, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan:
Preference-Based Nonlinear Normalization for Multiobjective Optimization. EMO 2023: 563-577 - Hisao Ishibuchi, Yang Nan, Lie Meng Pang:
Performance Evaluation of Multi-objective Evolutionary Algorithms Using Artificial and Real-world Problems. EMO 2023: 333-347
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