An improved MOEA/D for multi-objective job shop scheduling problem

doi:10.1080/0951192X.2016.1187301

	An improved MOEA/D for multi-objective job shop scheduling problem
	Zhao, Fuqing 1,3; Chen, Zhen 1; Wang, Junbiao 3; Zhang, Chuck 2
刊名	International Journal of Computer Integrated Manufacturing
	2017-06-03
卷号	30 期号:6 页码:616-640
关键词	Decomposition Evolutionary algorithms Machine shops Multiobjective optimization Scheduling Adaptive mechanism Convergence performance Convergence speed Initial population Job shop scheduling problems Multi objective evolutionary algorithms Multi-objective job shop scheduling Multiple-objectives
ISSN号	0951192X
DOI	10.1080/0951192X.2016.1187301
英文摘要	In this article, an improved multi-objective evolutionary algorithm, which is based on decomposition (IMOEA/D) for multi-objective job shop scheduling problem, is proposed to solve multiple objectives job shop scheduling problems. Three minimisation objectives–the maximum completion time (makespan), the total flow time and the tardiness time are considered simultaneously. In the proposed algorithm, several prior rules are presented to construct the initial population with a high level of quality. Meanwhile, according to the contribution of each operator to the external archive, an adaptive mechanism is adopted to select corresponding operators to generate new solutions, which can accelerate convergence speed. Simulation results on the standard test instances show that IMOEA/D has a better convergence performance compared with multi-objective evolutionary algorithms based on Pareto dominance. © 2016 Informa UK Limited, trading as Taylor & Francis Group.
WOS研究方向	Computer Science ; Engineering ; Operations Research & Management Science
语种	英语
出版者	Taylor and Francis Ltd.
WOS记录号	WOS:000397233700009
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/150201]
专题	国际合作处（港澳台办）
作者单位	1.School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China; 2.H. Milton Stewart School of Industrial & Systems Engineering, Georgia Institute of Technology, Atlanta; GA, United States 3.Key Laboratory of Contemporary Design & Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Xi’an, China;
推荐引用方式 GB/T 7714	Zhao, Fuqing,Chen, Zhen,Wang, Junbiao,et al. An improved MOEA/D for multi-objective job shop scheduling problem[J]. International Journal of Computer Integrated Manufacturing,2017,30(6):616-640.
APA	Zhao, Fuqing,Chen, Zhen,Wang, Junbiao,&Zhang, Chuck.(2017).An improved MOEA/D for multi-objective job shop scheduling problem.International Journal of Computer Integrated Manufacturing,30(6),616-640.
MLA	Zhao, Fuqing,et al."An improved MOEA/D for multi-objective job shop scheduling problem".International Journal of Computer Integrated Manufacturing 30.6(2017):616-640.