A Novel Multi-Objective Optimization Algorithm Based on Differential Evolution and NSGA-II

	A Novel Multi-Objective Optimization Algorithm Based on Differential Evolution and NSGA-II
	Zhao, Fuqing 3; Huan, Liu 3; Zhang, Yi 2; Ma, Weimin 1; Zhang, Chuck 4
	2018
关键词	NSGA-II dual-population L - near distance differential evolution Pareto-optimal front
页码	570-575
英文摘要	NSGA-II is a well known, fast sorting and elite multi-objective genetic algorithm. The local exploitation ability of NSGA-II is relatively limited by the parameters of crossover and mutation. DE has shown powerful search abilities for continuous optimization. In this paper, an enhanced NSGA-II based on differential evolution and L-near distance (DP-NSGA-II/EDA) is proposed. To improve the diversity and convergence of Pareto optimal solutions by NSGA-II algorithm, DP-NSGA-II/EDA produces two populations by different approaches. One is from NSGA-II itself, the other is from differential evolution (DE). Through the competition between two populations, the superior individuals will be selected to construct new offspring population. Meanwhile, a new distance strategy called L-near distance is introduced to NSGA-II to maintain the diversity of the population. To validate the proposed algorithm, it is compared with the original NSGA-II, SPEA2 and MOEA/D-DE through several numerical benchmark problems. Results show the effectiveness of the proposed approach.
会议录	PROCEEDINGS OF THE 2018 IEEE 22ND INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN ((CSCWD))
会议录出版者	IEEE
会议录出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
语种	英语
资助项目	Science Foundation for Distinguished Youth Scholars of Lanzhou University of Technology[2012M521802] ; Science Foundation for Distinguished Youth Scholars of Lanzhou University of Technology[2013T60889] ; Science Foundation for Distinguished Youth Scholars of Lanzhou University of Technology[J201405]
WOS研究方向	Computer Science ; Engineering
WOS记录号	WOS:000482133300099
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/36199]
专题	国际合作处（港澳台办）
通讯作者	Zhao, Fuqing
作者单位	1.Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China 2.Xijin Univ, Sch Mech Engn, Xian 710123, Shaanxi, Peoples R China 3.Lanzhou Univ Technol, Sch Comp & Commun Technol, Lanzhou 730050, Gansu, Peoples R China 4.Georgia Inst Technol, H Milton Stewart Sch Ind & Syst Engn, Atlanta, GA 30332 USA
推荐引用方式 GB/T 7714	Zhao, Fuqing,Huan, Liu,Zhang, Yi,et al. A Novel Multi-Objective Optimization Algorithm Based on Differential Evolution and NSGA-II[C]. 见:.