中文版 | English
题名

Constrained multiobjective distance minimization problems

作者
通讯作者Ishibuchi, Hisao
DOI
发表日期
2019
会议录名称
页码
586-594
会议地点
Prague, Czech republic
出版地
1515 BROADWAY, NEW YORK, NY 10036-9998 USA
出版者
摘要
Various distance minimization problems (DMPs) have been proposed to visualize the search behaviors of evolutionary multiobjective optimization (EMO) algorithms in solving many-objective problems, multiobjective multimodal problems, and dynamic multiobjective problems. Among those DMPs, only the box constraints are considered. In this paper, we propose several constraint DMPs to visualize the behaviors of EMO algorithms with constraint handling techniques. In the proposed constraint DMPs, constraints are simply specified in the two-dimensional decision space. In the same manner, high-dimensional problems and multimodal problems can also be generated. Computational experiments show different behaviors by different algorithms in various constraint DMPs.
© 2019 Copyright is held by the owner/author(s). Publication rights licensed to ACM.
关键词
学校署名
通讯
语种
英语
相关链接[来源记录]
收录类别
资助项目
National Natural Science Foundation of China[61876075]
WOS研究方向
Computer Science ; Operations Research & Management Science
WOS类目
Computer Science, Artificial Intelligence ; Operations Research & Management Science
WOS记录号
WOS:000523218400070
EI入藏号
20193807458974
EI主题词
Constrained optimization ; Evolutionary algorithms
EI分类号
Optimization Techniques:921.5 ; Systems Science:961
来源库
EV Compendex
引用统计
被引频次[WOS]:8
成果类型会议论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/50850
专题工学院_计算机科学与工程系
作者单位
1.Department of Computer Science and Intelligent Systems, Graduate School of Engineering, Osaka Prefecture University, Sakai, Osaka; 599-8531, Japan
2.Shenzhen Key Laboratory of Computational Intelligence, University Key Laboratory of Evolving Intelligent Systems of Guangdong Province, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China
通讯作者单位计算机科学与工程系
推荐引用方式
GB/T 7714
Nojima, Yusuke,Fukase, Takafumi,Liu, Yiping,et al. Constrained multiobjective distance minimization problems[C]. 1515 BROADWAY, NEW YORK, NY 10036-9998 USA:Association for Computing Machinery, Inc,2019:586-594.
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