A two-stage evolutionary strategy based MOEA/D to multi-objective problems

doi:10.1016/j.eswa.2021.115654

	A two-stage evolutionary strategy based MOEA/D to multi-objective problems
	Cao, Jie; Zhang, Jianlin; Zhao, Fuqing; Chen, Zuohan
	2021-12-15
发表期刊	EXPERT SYSTEMS WITH APPLICATIONS
ISSN	0957-4174
卷号	185
摘要	The balance of convergence and diversity plays a significant role to the performance of multi-objective evolutionary algorithms (MOEAs). The MOEA/D is a very popular multi-objective optimization algorithm and has been used to solve various real world problems. Like many other algorithms, the MOEA/D also has insufficient ability of convergence and diversity when tackling certain complex multi-objective optimization problems (MOPs). In this paper, a novel algorithm named MOEA/D-TS is proposed for effectively solving MOPs. The new algorithm adopts two stages evolution strategies, the first stage is focused on pushing the solutions into the area of the Pareto front and speeding up its convergence ability, after that, the second stage conducts in the operating solution's diversity and makes the solutions distributed uniformly. The performance of MOEA/D-TS is validated in the ZDT, DTLZ and IMOP problems. Compared with others popular and variants algorithms, the experimental results demonstrate that the proposed algorithm has advantage over other algorithms with regard to the convergence and diversity in most of the tested problems.
关键词	Multi-objective optimization Evolutionary algorithm MOEA D Two-stage evolution Pareto solution
DOI	10.1016/j.eswa.2021.115654
收录类别	SCIE
语种	英语
WOS研究方向	Computer Science ; Engineering ; Operations Research & Management Science
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Operations Research & Management Science
WOS记录号	WOS:000707414900003
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计	被引频次：9[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/149993
专题	教务处（创新创业学院）兰州理工大学国际合作处（港澳台办）
作者单位	Lanzhou Univ Technol, Sch Comp & Commun Technol, Lanzhou 730050, Peoples R China
第一作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
推荐引用方式 GB/T 7714	Cao, Jie,Zhang, Jianlin,Zhao, Fuqing,et al. A two-stage evolutionary strategy based MOEA/D to multi-objective problems[J]. EXPERT SYSTEMS WITH APPLICATIONS,2021,185.
APA	Cao, Jie,Zhang, Jianlin,Zhao, Fuqing,&Chen, Zuohan.(2021).A two-stage evolutionary strategy based MOEA/D to multi-objective problems.EXPERT SYSTEMS WITH APPLICATIONS,185.
MLA	Cao, Jie,et al."A two-stage evolutionary strategy based MOEA/D to multi-objective problems".EXPERT SYSTEMS WITH APPLICATIONS 185(2021).