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检索条件"主题词=Multimodal multi-objective optimization"
54 条 记 录,以下是1-10 订阅
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multimodal multi-objective optimization via determinantal point process-assisted evolutionary algorithm
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NEURAL COMPUTING & APPLICATIONS 2024年 第3期36卷 1381-1411页
作者: Cheng, Xinyu Gong, Wenyin Ming, Fei Zhu, Xiaofang China Univ Geosci Sch Comp Sci Wuhan 430074 Hubei Peoples R China Wuhan Univ Technol Sch Comp Sci & Artificial Intelligence Wuhan 430071 Hubei Peoples R China
multimodal multi-objective optimization problems (MMOPs) are widely present in real life. Due to the need of balancing between convergence and diversity in multi-objective optimization, as well as the need of balancin... 详细信息
来源: 评论
multimodal multi-objective optimization based on local optimal neighborhood crowding distance differential evolution algorithm
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NEURAL COMPUTING & APPLICATIONS 2024年 第1期36卷 461-481页
作者: Gu, Qinghua Peng, Yifan Wang, Qian Jiang, Song Xian Univ Architecture & Technol Sch Resources Engn Xian 710055 Shaanxi Peoples R China Xian Univ Architecture & Technol Xian Key Lab Intelligent Ind Percept Calculat & De Xian 710055 Peoples R China Xian Univ Architecture & Technol Sch Management Xian 710055 Shaanxi Peoples R China
In practical applications, the optimal solutions of multi-objective optimization are not unique. Some problems exist different Pareto Sets (PSs) in the decision space mapped to the same Pareto Front (PF) in the object... 详细信息
来源: 评论
multimodal multi-objective optimization with multi-stage-based evolutionary algorithm
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MEMETIC COMPUTING 2023年 第4期15卷 377-389页
作者: Wu, Tianyong Ming, Fei Zhang, Hao Yang, Qiying Gong, Wenyin China Univ Geosci Coll Marine Sci & Technol Wuhan 430074 Hubei Peoples R China China Univ Geosci Sch Comp Sci Wuhan 430074 Hubei Peoples R China China Univ Geosci Fac Engn Wuhan 430074 Hubei Peoples R China China Univ Geosci Inst Adv Marine Res CUG Guangzhou 511466 Guangdong Peoples R China
A key issue in tackling multimodal multi-objective optimization problems (MMOPs) is achieving the balance between objective space diversity and decision space diversity to obtain multiple Pareto sets (PSs) while guara... 详细信息
来源: 评论
multimodal multi-objective optimization via multi-operator adaptation and clustering-based environmental selection
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SWARM AND EVOLUTIONARY COMPUTATION 2025年 96卷
作者: Wu, Xinyi Ming, Fei Gong, Wenyin Liao, Bolin Guo, Yuanyuan China Univ Geosci Sch Comp Sci Wuhan 430074 Peoples R China Jishou Univ Coll Comp Sci & Engn Jishou 416000 Peoples R China Cvent Technol R&D Fredericton NB E3B 5H8 Canada
In real world applications, multimodal multi-objective optimization problems are common, addressing which can offer decision makers multiple choices to accommodate varying scenarios. Many researchers have been focusin... 详细信息
来源: 评论
Exploring a Promising Region and Enhancing Decision Space Diversity for multimodal multi-objective optimization
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Tsinghua Science and Technology 2024年 第2期29卷 325-342页
作者: Fei Ming Wenyin Gong School of Computer Science China University of GeosciencesWuhan 430074China
During the past decade,research efforts have been gradually directed to the widely existing yet less noticed multimodal multi-objective optimization problems(MMOPs)in the multi-objective optimization ***,researchers h... 详细信息
来源: 评论
Hybrid Operator and Strengthened Diversity Improving for multimodal multi-objective optimization
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Tsinghua Science and Technology 2024年 第5期29卷 1409-1421页
作者: Guoting Zhang Yonghao Du Xiaobin Zhu Xiaolu Liu Beijing Institute of Tracking and Telecommunication Technology Beijing 100094China College of Systems Engineering National University of Defense TechnologyChangsha 410073China
multimodal multi-objective optimization problems(MMOPs)contain multiple equivalent Pareto subsets(PSs)corresponding to a single Pareto front(PF),resulting in difficulty in maintaining promising diversities in both obj... 详细信息
来源: 评论
Variational graph autoencoder-driven balancing strategy for multimodal multi-objective optimization
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INFORMATION SCIENCES 2025年 712卷
作者: Yang, Lei Zhang, Erlei Dang, Qianlong Northwest A&F Univ Coll Informat Engn Yangling 712100 Peoples R China Northwest A&F Univ Coll Sci Yangling 712100 Peoples R China
multimodal multi-objective optimization aims to balance the diversity and the convergence to obtain multiple complete and uniform Pareto optimal solution sets. In recent years, using machine learning models to improve... 详细信息
来源: 评论
A multi-population competitive evolutionary algorithm based on genotype preference for multimodal multi-objective optimization
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SWARM AND EVOLUTIONARY COMPUTATION 2025年 92卷
作者: Zhong, Keyu Xiao, Fen Gao, Xieping Hunan Normal Univ Minist Educ Key Lab Comp & Stochast Math Changsha 410081 Peoples R China Hunan Normal Univ Sch Math & Stat Changsha 410081 Peoples R China Xiangtan Univ Sch Comp Sci Xiangtan 411105 Peoples R China Hunan Normal Univ Coll Informat Sci & Engn Changsha 410081 Peoples R China
Many existing multimodal multi-objective evolutionary algorithms (MMOEAs) exhibit poor performance in addressing multimodal multi-objective optimization problems (MMOPs), mainly due to limited genetic diversity in env... 详细信息
来源: 评论
Learnable self-supervised support vector machine based individual selection strategy for multimodal multi-objective optimization
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INFORMATION SCIENCES 2025年 690卷
作者: Gao, Xiaochuan Bai, Weiting Dang, Qianlong Yang, Shuai Zhang, Guanghui Northwest A&F Univ Coll Sci Yangling 712100 Shaanxi Peoples R China Anhui Agr Univ Sch Informat & Artificial Intelligence Hefei 230036 Peoples R China Hebei Agr Univ Sch Informat Sci & Technol Baoding 071001 Peoples R China
multimodal multi-objective optimization problem (MMOP) is a frontier research problem, which can provide decision makers with more choices without making trade-offs. Many multimodal multi-objective evolutionary algori... 详细信息
来源: 评论
A neighborhood-assisted evolutionary algorithm for multimodal multi-objective optimization
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MEMETIC COMPUTING 2024年 第2期16卷 139-158页
作者: Zhang, Weiwei Li, Jiaqiang Li, Guoqing Zhang, Weizheng Zhengzhou Univ Light Ind Sch Comp Sci & Technol Zhengzhou 450000 Peoples R China Ningbo Univ Fac Elect Engn & Comp Sci Ningbo 315211 Peoples R China
multi-modal multi-objective optimization problems (MMOPs) involve multiple Pareto sets (PSs) in decision space corresponding to the same Pareto front (PF) in objective space. The difficulty lies in locating multiple e... 详细信息
来源: 评论