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检索条件"主题词=evolutionary algorithms"
12106 条 记 录,以下是901-910 订阅
排序:
evolutionary multi-objective customer segmentation approach based on descriptive and predictive behaviour of customers: application to the banking sector
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JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE 2023年 第8期35卷 1201-1223页
作者: Ben Ncir, Chiheb-Eddine Ben Mzoughia, Mohamed Qaffas, Alaa Bouaguel, Waad Univ Jeddah Coll Business Jeddah Saudi Arabia Univ Tunis ISG Tunis LARODEC Lab Tunis Tunisia Teamwill Consulting Grp Paris France
Customer segmentation is a challenging task in marketing that aims to build homogeneous segments of customers based on their similar characteristics and activities. This problem is considered multi-objective since it ... 详细信息
来源: 评论
A*-Based Co-evolutionary Approach for Multi-Robot Path Planning with Collision Avoidance
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CYBERNETICS AND SYSTEMS 2023年 第3期54卷 339-354页
作者: Kiadi, Morteza Garcia, Enol Villar, Jose R. Tan, Qing Athabasca Univ Sch Comp & Informat Syst Athabasca AB Canada Univ Oviedo Dept Comp Sci Oviedo Spain
In this research, a coevolutionary collision free multi-robot path planning that makes use of A* is proposed. To find collision-free paths for all robots, we generate a route for each of robot using A* path finding bu... 详细信息
来源: 评论
Unconstrained search space model proposal for search effect improvement of evolutionary algorithms in portfolio replication problems
IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 2014年 第9期134卷 1384-1393页
作者: Shibata, Shunsuke Orito, Yukiko Yamamoto, Hisashi Hanada, Yoshiko Graduate School of System Design Tokyo Metropolitan University 6-6 Asahigaoka Hino Tokyo161-0095 Japan Graduate School of Social Sciences Hiroshima University 1-2-1 Kagamiyama Higashi-Hiroshima Hiroshima739-8525 Japan Faculty of Engineering Science Kansai University 3-3-35 Yamate Suita Osaka564-8680 Japan
It is desired to make the replication portfolio when a benchmark portfolio has delivered good returns. However, the portfolio replication problem is one of equality constrained indeterminate problems. We cannot find t... 详细信息
来源: 评论
evolutionary approach for dynamic constrained optimization problems
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ALEXANDRIA ENGINEERING JOURNAL 2023年 66卷 827-843页
作者: Hamza, Noha Sarker, Ruhul Essam, Daryl Elsayed, Saber Univ New South Wales Sch Engn & Informat Technol Canberra ACT Australia
The number of research works on dynamic constrained optimization problems has been increasing rapidly over the past two decades. In this domain, many real-life decision problems need to be solved repeatedly with chang... 详细信息
来源: 评论
A Personal Perspective on evolutionary Computation: A 35-Year Journey
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evolutionary COMPUTATION 2023年 第2期31卷 123-155页
作者: Michalewicz, Zbigniew Complexica Level 29 Charles St West Lakes SA 5021 Australia
This paper presents a personal account of the author's 35 years "adventure" with evolutionary Computation-from the first encounter in 1988 and many years of academic research through to working full-time... 详细信息
来源: 评论
An Adaptive evolutionary Multi-Objective Estimation of Distribution Algorithm and Its Application to Multi-UAV Path Planning
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IEEE ACCESS 2023年 11卷 50038-50051页
作者: Ren, Yuhang Zhang, Liang Wuhan Univ Technol Sch Sci Dept Math Wuhan Peoples R China
This paper concerns the multi-UAV cooperative path planning problem, which is solved by multi-objective optimization and by an adaptive evolutionary multi-objective estimation of distribution algorithm (AEMO-EDA). Sin... 详细信息
来源: 评论
CREATION METHOD OF KOMOREBI DESIGN USING DEEP LEARNING AND evolutionary ALGORITHM
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AIJ Journal of Technology and Design 2024年 第75期30卷 1080-1084页
作者: Keita, Kado Jun, Munakata Jun, Toba Graduate School of Engineering Chiba Univ. Japan Graduate School of Science and Engineering Chiba Univ Japan Graduate School of Engineering Chiba Univ. Japan
This study proposes an optimization method based on qualitative scores, specifically focusing on the similarity to nature-like features. The key to the proposed method is the utilization of a deep neural network train... 详细信息
来源: 评论
A Survey on evolutionary Constrained Multiobjective Optimization
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IEEE TRANSACTIONS ON evolutionary COMPUTATION 2023年 第2期27卷 201-221页
作者: Liang, Jing Ban, Xuanxuan Yu, Kunjie Qu, Boyang Qiao, Kangjia Yue, Caitong Chen, Ke Tan, Kay Chen Zhengzhou Univ Sch Elect Engn Zhengzhou 450001 Peoples R China Zhongyuan Univ Technol Sch Elect & Informat Engn Zhengzhou 450007 Peoples R China Hong Kong Polytech Univ Dept Comp Hong Kong Peoples R China
Handling constrained multiobjective optimization problems (CMOPs) is extremely challenging, since multiple conflicting objectives subject to various constraints require to be simultaneously optimized. To deal with CMO... 详细信息
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Subpopulation diversity based setting success rate of migration for distributed evolutionary algorithms
Lecture Notes in Computer Science (including subseries Lectu...
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8862卷 1-12页
作者: Li, Chengjun Chen, Zhe Gu, Shuhua Hu, Guangdao Shan, Hongyuan China University of Geosciences School of Computer Science Wuhan430074 China China University of Geosciences Wuhan430074 China
In most of distributed evolutionary algorithms (DEAs), migration interval is used to decide the frequent of migration. Nevertheless, a predetermined interval cannot match the dynamic situation of evolution. Consequent... 详细信息
来源: 评论
A pairwise comparison based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization
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SWARM AND evolutionary COMPUTATION 2023年 80卷
作者: Tian, Ye Hu, Jiaxing He, Cheng Ma, Haiping Zhang, Limiao Zhang, Xingyi Anhui Univ Informat Mat & Intelligent Sensing Lab Anhui Prov Hefei Peoples R China Anhui Univ Inst Phys Sci Hefei Peoples R China Anhui Univ Inst Informat Technol Hefei Peoples R China Anhui Univ Sch Comp Sci & Technol Hefei Peoples R China Huazhong Univ Sci & Technol Sch Elect & Elect Engn Wuhan Peoples R China Anhui Univ Sch Artificial Intelligence Hefei Peoples R China
Multi-objective optimization problems in many real-world applications are characterized by computationally or economically expensive objectives, which cannot provide sufficient function evaluations for evolutionary al... 详细信息
来源: 评论