Hybrid evolutionary method for capacitated location-allocation problem
Gong, DJ; Gen, M; Yamazaki, G; Xu, WX
1997
Source PublicationCOMPUTERS & INDUSTRIAL ENGINEERING
ISSN0360-8352
Volume33Issue:40972Pages:4,577-580
AbstractLocation-allocation model is widely applied for facility location design in practice. In this paper, we discuss an extension of location-allocation model which has capacity constraints and propose a hybrid evolutionary method to solve it which absorbs ideas from both genetic algorithms (GAs) and evolutionary strategy (ES) as well as combined with efficient traditional optimization techniques. It is shown that the proposed method is effective in finding global or near global solutions by numerical simulations. (C) 1997 Elsevier Science Ltd.
KeywordLocation-allocation Problem Genetic Algorithms Evolutionary Strategy
Subject AreaComputer Science, Interdisciplinary Applications ; Engineering, Industrial
Indexed BySCI
Language英语
WOS IDWOS:000071055500032
Citation statistics
Document Type期刊论文
Identifierhttp://ir.casisd.cn/handle/190111/5425
Collection中国科学院科技政策与管理科学研究所(1985年6月-2015年12月)
Recommended Citation
GB/T 7714
Gong, DJ,Gen, M,Yamazaki, G,et al. Hybrid evolutionary method for capacitated location-allocation problem[J]. COMPUTERS & INDUSTRIAL ENGINEERING,1997,33(40972):4,577-580.
APA Gong, DJ,Gen, M,Yamazaki, G,&Xu, WX.(1997).Hybrid evolutionary method for capacitated location-allocation problem.COMPUTERS & INDUSTRIAL ENGINEERING,33(40972),4,577-580.
MLA Gong, DJ,et al."Hybrid evolutionary method for capacitated location-allocation problem".COMPUTERS & INDUSTRIAL ENGINEERING 33.40972(1997):4,577-580.
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