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)
作者部门	数字工厂研究室
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
会议录名称	PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ELECTRONIC SCIENCE AND AUTOMATION CONTROL
出版者	ATLANTIS PRESS
出版地	PARIS
	2015
页码	221-225
收录类别	CPCI（ISTP）
WOS记录号	WOS:000364830600054
产权排序	1
ISSN号	2352-538X
ISBN号	978-94-62520-95-0
关键词	Hfs Scheduling Problem Load Balancing Selection Probability De Algorithm Dpsade Algorithm
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.
语种	英语
引用统计
文献类型	会议论文
条目标识符	http://ir.sia.cn/handle/173321/17538
专题	数字工厂研究室
作者单位	1.Faculty of Information and Control Engineering, Shenyang Jianzhu University, Shenyang, China 2.Department of Digital Factory, Shenyang Institute of Automation, CAS, Shenyang, China
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]. PARIS:ATLANTIS PRESS,2015:221-225.

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