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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)
Department数字工厂研究室
Conference NameInternational Conference on Electronic Science and Automation Control (ESAC)
Conference DateAugest 15-16, 2015
Conference PlaceZhengzhou, PEOPLES R CHINA
Source PublicationPROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ELECTRONIC SCIENCE AND AUTOMATION CONTROL
PublisherATLANTIS PRESS
Publication PlacePARIS
2015
Pages221-225
Indexed ByCPCI(ISTP)
WOS IDWOS:000364830600054
Contribution Rank1
ISSN2352-538X
ISBN978-94-62520-95-0
KeywordHfs Scheduling Problem Load Balancing Selection Probability De Algorithm Dpsade Algorithm
AbstractIn 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.
Language英语
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Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/17538
Collection数字工厂研究室
Affiliation1.Faculty of Information and Control Engineering, Shenyang Jianzhu University, Shenyang, China
2.Department of Digital Factory, Shenyang Institute of Automation, CAS, Shenyang, China
Recommended Citation
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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