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Self-adaptive cuckoo search algorithm for hybrid flowshop makespan problem
Han ZH(韩忠华); Dong XT(董晓婷); Lv XS(吕希胜)
作者部门数字工厂研究室
会议名称2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
会议日期June 8-12, 2015
会议地点Shenyang, China
会议录名称2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
出版者IEEE
出版地Piscataway, NJ, USA
2015
页码1539-1545
收录类别EI ; CPCI(ISTP)
EI收录号20161402187761
WOS记录号WOS:000380502300281
产权排序1
ISSN号2379-7711
ISBN号978-1-4799-8730-6
关键词Hybrid Flow Shop Scheduling Problem Makespan Sacs Algorithm Bottleneck Heuristic Elite Learning Strategies
摘要As a typical NP-hard combination optimization problem, the hybrid flow shop widely exists in manufacturing systems. In this paper, a mathematical model of hybrid flow shop is formulated, and then a new encoding and decoding method based on matrix is designed, together with Self-Adaptive Cuckoo Search(SACS) algorithm to minimize the makespan of this problem. The main contribution of this paper is to develop a new approach hybridizing CS with bottleneck heuristic method to fully exploit the bottleneck stage, and then bring in a self-adaptive parameter adjusting strategy along with iterations to enhance the ability to jump out of local extreme value and maintain the evolution energy. furthermore, elite learning strategies and some local search methods are applied to enhance the local search ability. The comparison between the proposed algorithm and several effective algorithms show that the SACS algorithm is feasible and practical.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/18526
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
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Han ZH,Dong XT,Lv XS. Self-adaptive cuckoo search algorithm for hybrid flowshop makespan problem[C]. Piscataway, NJ, USA:IEEE,2015:1539-1545.
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