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检索条件"主题词=evolutionary computation"
14936 条 记 录,以下是381-390 订阅
排序:
Fuzzy clustering-based large-scale multimodal multi-objective differential evolution algorithm
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SWARM AND evolutionary computation 2025年 93卷
作者: Wu, Lingyu Zhao, Xinchao Ye, Lingjuan Qiao, Zenglin Zuo, Xingquan Beijing Univ Posts & Telecommun Sch Sci Beijing 100876 Peoples R China Beijing Univ Posts & Telecommun Key Lab Math & Informat Networks Minist Educ Beijing Peoples R China Beijing Univ Posts & Telecommun Sch Comp Sci Beijing 100876 Peoples R China
Traditional multi-modal multi-objective problems often have multiple local optima in the decision space, and each local optimum is of great importance. However, real-world multi-modal problems are often largescale pro... 详细信息
来源: 评论
Two-Stage Cooperation Multiobjective evolutionary Algorithm Guided by Constraint-Sensitive Variables
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IEEE TRANSACTIONS ON CYBERNETICS 2025年 第3期55卷 1450-1463页
作者: Ma, Jun Zhang, Yong Gong, Dun-Wei Gao, Xiao-Zhi Peng, Chao China Univ Min & Technol Artificial Intelligence Res Inst Xuzhou 221008 Peoples R China China Univ Min & Technol Sch Informat & Control Engn Xuzhou 221008 Peoples R China Qingdao Univ Sci & Technol Coll Automat & Elect Engn Qingdao 266061 Shandong Peoples R China Univ Eastern Finland Sch Comp Kuopio 70210 Finland
Constrained multiobjective optimization problems are widespread in practical engineering fields. Scholars have proposed various effective constrained multiobjective evolutionary algorithms (CMOEAs) for such problems. ... 详细信息
来源: 评论
Machine Learning-Enabled evolutionary Two-Stage Stochastic Programming
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IEEE TRANSACTIONS ON EMERGING TOPICS IN computationAL INTELLIGENCE 2025年
作者: Pan, Jeng-Shyang Song, Pei-Cheng Chu, Shu-Chuan Snasel, Vaclav Watada, Junzo Nanjing Univ Informat Sci & Technol Sch Artificial Intelligence Nanjing Peoples R China Chaoyang Univ Technol Dept Informat Management Taichung Taiwan Hong Kong Polytech Univ Dept Ind & Syst Engn Hong Kong Peoples R China Shandong Univ Sci & Technol Coll Comp Sci & Engn Qingdao Peoples R China VSB Tech Univ Ostrava Dept Comp Sci Ostrava Czech Republic Waseda Univ Grad Sch Informat Prod & Syst Kitakyushu Japan
Two-stage Stochastic Programming (2SP) is an effective framework for decision-making and modeling under uncertainty. Some 2SP problems are challenging due to their high dimensionality and nonlinearity. Machine learnin... 详细信息
来源: 评论
Finding the Set of Nearly Optimal Solutions of a Multiobjective Optimization Problem
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IEEE TRANSACTIONS ON evolutionary computation 2025年 第1期29卷 145-157页
作者: Schutze, Oliver Rodriguez-Fernandez, Angel E. Segura, Carlos Hernandez, Carlos CINVESTAV IPN Comp Sci Dept Mexico City 07360 Mexico Ctr Res Math Comp Sci Dept Guanajuato 36240 Mexico IIMAS UNAM Comp Sci Dept Mexico City 04510 Mexico
evolutionary multiobjective optimization (EMO) is a highly active research field that has attracted many researchers and practitioners over the past three decades. Surprisingly, until now, the goal of almost all EMO a... 详细信息
来源: 评论
From Direct to Directional Variable Dependencies-Nonsymmetrical Dependencies Discovery in Real-World and Theoretical Problems
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IEEE TRANSACTIONS ON evolutionary computation 2025年 第2期29卷 490-504页
作者: Przewozniczek, Michal Witold Frej, Bartosz Komarnicki, Marcin Michal Wroclaw Univ Sci & Technol Dept Syst & Comp Networks Wroclaw Poland Wroclaw Univ Sci & Technol Fac Pure & Appl Math PL-50370 Wroclaw Poland
The knowledge about variable interactions is frequently employed in state-of-the-art research concerning genetic algorithms (GAs). Whether these interactions are known a priori (gray-box optimization) or are discovere... 详细信息
来源: 评论
DANCE: Distributed co-evolutionary design of velocity controllers for swarm intelligence robots in flocking and entrapping tasks
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SWARM AND evolutionary computation 2025年 94卷
作者: Wang, Chen Zhu, Cheng Zhu, Xianqiang Lei, Hongtao Zhang, Weiming Wu, Meng Natl Univ Def Technol Deya Rd Changsha 410073 Hunan Peoples R China Natl Key Lab informat Syst Engn Deya Rd Changsha 410073 Hunan Peoples R China
This study combined evolutionary algorithm and reinforcement learning to propose anew automated design method for generating swarm robots velocity controller model. It alternately evolves heterogeneous swarm and homog... 详细信息
来源: 评论
Text clustering with a hybrid multi-objective optimization approach: The multi-objective firefly differential Jaya Algorithm
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SWARM AND evolutionary computation 2025年 93卷
作者: Naderi, Muhammad Amiri, Maryam Arak Univ Fac Engn Dept Comp Engn Arak *** Iran
The exponential growth of unstructured text data generated by internet users has created an urgent need for efficient organization methods to uncover valuable insights. Text clustering, a widely used data mining appro... 详细信息
来源: 评论
Leveraging Grammarware for Active Video Game Development
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APPLIED SCIENCES-BASEL 2025年 第8期15卷 4253-4253页
作者: Crepinsek, Matej Kosar, Tomaz Moravec, Matej Ravber, Miha Mernik, Marjan Univ Maribor Fac Elect Engn & Comp Sci Koroska Cesta 46 Maribor 2000 Slovenia
This paper presents a grammarware-based approach to developing active video games (AVGs) for sensor-driven training systems. The GCGame domain-specific language (DSL) is introduced to define game logic, sensor interac... 详细信息
来源: 评论
Micro Many-Objective evolutionary Algorithm With Knowledge Transfer
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IEEE TRANSACTIONS ON EMERGING TOPICS IN computationAL INTELLIGENCE 2025年 第1期9卷 43-56页
作者: Peng, Hu Luo, Zhongtian Fang, Tian Zhang, Qingfu Jiujiang Univ Sch Comp & Big Data Sci Jiujiang 332005 Peoples R China Jiujiang Key Lab Digital Technol Jiujiang 332005 Peoples R China City Univ Hong Kong Dept Comp Sci Hong Kong 999077 Peoples R China
computational effectiveness and limited resources in evolutionary algorithms are interdependently handled during the working of low-power microprocessors for real-world problems, particularly in many-objective evoluti... 详细信息
来源: 评论
Multi-objective genetic programming based on decomposition for feature learning in image classification
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SWARM AND evolutionary computation 2025年 94卷
作者: Zhang, Tuo Bi, Ying Liang, Jing Xue, Bing Zhang, Mengjie Zhengzhou Univ Sch Elect & Informat Engn 100 KeXue Rd Zhengzhou 450001 Henan Peoples R China State Key Lab Intelligent Agr Power Equipment 39 Xiyuan Rd Luoyang 471039 Henan Peoples R China Henan Inst Technol Sch Elect Engn & Automat 699 Pingyuan Rd Xinxiang 453003 Henan Peoples R China Victoria Univ Wellington Ctr Data Sci & Artificial Intelligence Sch Engn & Comp Sci POB 600 Wellington 6140 New Zealand
Image classification presents a challenge due to its high dimensionality and extensive variations. Feature learning is a powerful method in addressing this challenge, constituting a multi-objective problem aimed at ma... 详细信息
来源: 评论