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Hybrid PSO/DE solution for the earliness/tardiness case of hybrid flow-shop scheduling problem
Han ZH(韩忠华); Shi HB(史海波); Yuan WB(原文斌); Zhang ZY(张志宇)
作者部门自动化系统研究室
会议名称2012 International Conference on Modelling, Identification and Control, ICMIC 2012
会议日期June 24-26, 2012
会议地点Wuhan, China
会议主办者IEEE Shanghai Section; International Journal of Modelling, Identification and Control; International Journal of Computer Applications and Technology; Huazhong University of Science and Technology; Wuhan University of Science and Technology
会议录名称Proceedings of 2012 International Conference on Modelling, Identification and Control, ICMIC 2012
出版者IEEE Computer Society
出版地Washington, DC, United States
2012
页码277-282
收录类别EI
EI收录号20124015531512
产权排序1
ISBN号978-0-9567157-1-5
关键词Algorithms Global Optimization Particle Swarm Optimization (Pso)
摘要In this paper, a hybrid method based on particle swarm optimization (PSO) and differential evolution (DE) algorithm is presented to solve the earliness tardiness (E/T) hybrid flow-shop scheduling problem (HFSP). PSO/DE is used to take global optimization. The local assignment rules are used to determine the job's starting time and processing sequence at each stage. The fitness function is constructed with considering the Earliness/Tardiness penalty in the optimal process of hybrid flow shop. Then the scheduling model of hybrid flow shop is obtained, the global assignment of production task can be realized, and each job's process route can be determined. Several scheme comparisons with experiment results show the better effectiveness of hybrid PSO/DE algorithm to solve E/T problem of HFSP. © 2012 Huazhong Univ of Sci & Tec.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/10117
专题自动化系统研究室
通讯作者Han ZH(韩忠华)
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences Shenyang, Nanta Street 114#, Shenyang 110016, China
2.Graduate School of the Chinese Academy of Sciences, Beijing, 100049, China
3.Shenyang Jianzhu University, Shenyang, 110168, China
推荐引用方式
GB/T 7714
Han ZH,Shi HB,Yuan WB,et al. Hybrid PSO/DE solution for the earliness/tardiness case of hybrid flow-shop scheduling problem[C]//IEEE Shanghai Section; International Journal of Modelling, Identification and Control; International Journal of Computer Applications and Technology; Huazhong University of Science and Technology; Wuhan University of Science and Technology. Washington, DC, United States:IEEE Computer Society,2012:277-282.
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