An effective DE algorithm for hybrid flow shop load balancing scheduling problem

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	An effective DE algorithm for hybrid flow shop load balancing scheduling problem
	Han ZH(韩忠华); Dong XT(董晓婷); Lin S(林硕)
	2015
会议名称	International Conference on Electronic Science and Automation Control (ESAC)
会议日期	Augest 15-16, 2015
会议地点	Zhengzhou, PEOPLES R CHINA
关键词	HFS scheduling problem load balancing selection probability DE algorithm DPSADE algorithm
页码	221-225
中文摘要	In this paper, an improved DE algorithm called double population self-adaptive differential evolution (DPSADE) algorithm is used to solve the hybrid flow shop load balancing scheduling problem (HFS-LBSP) which combines a novel double population cooperative evolution mechanism with a special self-adaptive parameter adjusting strategy. A mathematical model in which the weighted summation of the processing time load balancing cost and the total parallel machine waiting time is set as load balancing comprehensive evaluation index is formulated for this problem. In the last, The comparison between DPSADE and DE, SADE demostrates the effectiveness of DPSADE in solving HFS-LBSP.
收录类别	CPCI（ISTP）
产权排序	1
会议录	PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ELECTRONIC SCIENCE AND AUTOMATION CONTROL
会议录出版者	ATLANTIS PRESS
会议录出版地	PARIS
语种	英语
ISSN号	2352-538X
ISBN号	978-94-62520-95-0
WOS记录号	WOS:000364830600054
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/17538]
专题	沈阳自动化研究所_数字工厂研究室
推荐引用方式 GB/T 7714	Han ZH,Dong XT,Lin S. An effective DE algorithm for hybrid flow shop load balancing scheduling problem[C]. 见:International Conference on Electronic Science and Automation Control (ESAC). Zhengzhou, PEOPLES R CHINA. Augest 15-16, 2015.