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检索条件"主题词=multi-objective evolutionary algorithm"
545 条 记 录,以下是41-50 订阅
排序:
A learning-guided multi-objective evolutionary algorithm for constrained portfolio optimization
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APPLIED SOFT COMPUTING 2014年 第0期24卷 757-772页
作者: Lwin, Khin Qu, Rong Kendall, Graham Univ Nottingham Sch Comp Sci ASAP Grp Nottingham NG8 1BB England
Portfolio optimization involves the optimal assignment of limited capital to different available financial assets to achieve a reasonable trade-off between profit and risk objectives. In this paper, we studied the ext... 详细信息
来源: 评论
Fuzzy rules for describing subgroups from Influenza A virus using a multi-objective evolutionary algorithm
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APPLIED SOFT COMPUTING 2013年 第8期13卷 3439-3448页
作者: Carmona, C. J. Chrysostomou, C. Seker, H. del Jesus, M. J. Univ Jaen Dept Comp Sci Jaen 23071 Spain Univ Leicester Dept Genet Leicester LE1 7RH Leics England De Montfort Univ Sch Comp Ctr Computat Intelligent Leicester LE1 9BH Leics England
Extraction of biologically-meaningful knowledge is one of the important and challenging tasks in bioinformatics, in particular computational analysis of DNA and protein sequences, in order to identify biological funct... 详细信息
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Reservoir flood control operation using multi-objective evolutionary algorithm with decomposition and preferences
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APPLIED SOFT COMPUTING 2017年 50卷 21-33页
作者: Qi, Yutao Yu, Jusheng Li, Xiaodong Wei, Yanxi Miao, Qiguang Xidian Univ Sch Comp Sci & Technol Xian Peoples R China RMIT Univ Sch Comp Sci & IT Melbourne Vic Australia
In this paper we propose a preference-based multi-objective optimization model for reservoir flood control operation (RFCO). This model takes the water preserving demand into consideration while optimizing two conflic... 详细信息
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Interpretability-based fuzzy decision tree classifier a hybrid of the subtractive clustering and the multi-objective evolutionary algorithm
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SOFT COMPUTING 2013年 第9期17卷 1673-1686页
作者: Afsari, F. Eftekhari, M. Eslami, E. Woo, P. -Y. Shahid Bahonar Univ Kerman Dept Comp Engn Kerman Iran Shahid Bahonar Univ Kerman Dept Math Kerman Iran No Illinois Univ Dept Elect Engn De Kalb IL 60115 USA
The fuzzy decision tree (FDT) is a powerful, top-down, hierarchical search scheme to extract human interpretable classification rules. Furthermore, the FDT is considered an approach to model a system by making use of ... 详细信息
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Two-agent stochastic flow shop deteriorating scheduling via a hybrid multi-objective evolutionary algorithm
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JOURNAL OF INTELLIGENT MANUFACTURING 2019年 第5期30卷 2257-2272页
作者: Fu, Yaping Wang, Hongfeng Tian, Guangdong Li, Zhiwu Hu, Hesuan Qingdao Univ Inst Complex Sci Qingdao 266071 Shandong Peoples R China Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Liaoning Peoples R China Jilin Univ Coll Transportat Changchun 130022 Jilin Peoples R China Macau Univ Sci & Technol Inst Syst Engn Macau 999078 Peoples R China Xidian Univ Sch Electromech Engn Xian 710071 Shaanxi Peoples R China
multi-agent and deteriorating scheduling has gained an increasing concern from academic and industrial communities in recent years. This study addresses a two-agent stochastic flow shop deteriorating scheduling proble... 详细信息
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multi-objective Optimal Reactive Power Dispatch of Power Systems by Combining Classification-Based multi-objective evolutionary algorithm and Integrated Decision Making
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IEEE ACCESS 2020年 8卷 38198-38209页
作者: Zhang, Meng Li, Yang Northeast Elect Power Univ Sch Elect Engn Jilin 132012 Jilin Peoples R China
For the purpose of addressing the multi-objective optimal reactive power dispatch (MORPD) problem, a two-step approach is proposed in this paper. First of all, to ensure the economy and security of the power system, t... 详细信息
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Discovering generalized design knowledge using a multi-objective evolutionary algorithm with generalization operators
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EXPERT SYSTEMS WITH APPLICATIONS 2020年 143卷 1页
作者: Bang, Hyunseung Selva, Daniel Cornell Univ Sibley Sch Mech & Aerosp Engn Ithaca NY 14853 USA Texas A&M Univ Dept Aerosp Engn College Stn TX 77843 USA
The early-phase design of complex systems is a challenging task, as a decision maker has to take into account the intricate relationships among different design variables. A popular way to help decision makers easily ... 详细信息
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Dynamic multi-objective evolutionary algorithm for IoT services
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APPLIED INTELLIGENCE 2021年 第3期51卷 1177-1200页
作者: Fang, Shun-shun Chai, Zheng-yi Li, Ya-lun Tiangong Univ Sch Comp Sci & Technol Tianjin 300387 Peoples R China Tianjin Key Lab Autonomous Intelligence Technol & Tianjin 300387 Peoples R China Tiangong Univ Sch Elect & Informat Engn Tianjin 300387 Peoples R China
The primary goal of the Internet of things(IoT) is to provide people with anywhere services in real life. But intelligent IoT shouldn't only provide services, but also consider how to allocate heterogeneous resour... 详细信息
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Optimum plate-fin heat sinks by using a multi-objective evolutionary algorithm
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ENGINEERING OPTIMIZATION 2010年 第4期42卷 305-323页
作者: Bureerat, S. Srisomporn, S. Khon Kaen Univ Fac Engn Dept Mech Engn Khon Kaen 40002 Thailand
This article demonstrates the practical applications of a multi-objective evolutionary algorithm (MOEA) namely population-based incremental learning (PBIL) for an automated shape optimization of plate-fin heat sinks. ... 详细信息
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A hybrid multi-objective evolutionary algorithm with feedback mechanism
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APPLIED INTELLIGENCE 2018年 第11期48卷 4149-4173页
作者: Lu, Chao Gao, Liang Li, Xinyu Zeng, Bing Zhou, Feng China Univ Geosci Sch Comp Sci Hubei Key Lab Intelligent Geoinformat Proc Wuhan 430074 Hubei Peoples R China Huazhong Univ Sci & Technol Sch Mech Sci & Engn State Key Lab Digital Mfg Equipment & Technol 388 Lumo Rd Wuhan 430074 Hubei Peoples R China Army Engn Univ PLA Wuhan Wuhan 430075 Hubei Peoples R China
Exploration and exploitation are two cornerstones for multi-objective evolutionary algorithms (MOEAs). To balance exploration and exploitation, we propose an efficient hybrid MOEA (i.e., MOHGD) by integrating multiple... 详细信息
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