HYBRID EVOLUTIONARY METHOD FOR OBSTACLE LOCATION-ALLOCATION
GONG, DJ; GEN, M; XU, WX; YAMAZAKI, G
1995
Source PublicationCOMPUTERS & INDUSTRIAL ENGINEERING
ISSN0360-8352
Volume29Pages:6,525-530
AbstractIn this paper we propose a hybrid evolutionary method for Obstacle Location-allocation problem. This problem can be described as a tri-level mixed integer programming problem. Since this problem is very complex and with many local solutions, no direct method Is effective to solve it, Heuristic methods were proposed to it, but optimality is not guaranteed yet. Our hybrid evolutionary method adopts the main structure of Genetic Algorithms (GA) absorbing ideas from Evolutionary Strategy (ES) and combines with some traditional optimization techniques. In this way we can pursue global optimization maintaining a good efficiency of our method. A case study shows the effectiveness of this method.
KeywordLocation-allocation Problem Genetic Algorithms Evolutionary Strategy
Subject AreaComputer Science, Interdisciplinary Applications ; Engineering, Industrial
Indexed BySCI
Language英语
Document Type期刊论文
Identifierhttp://ir.casisd.cn/handle/190111/5475
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,XU, WX,et al. HYBRID EVOLUTIONARY METHOD FOR OBSTACLE LOCATION-ALLOCATION[J]. COMPUTERS & INDUSTRIAL ENGINEERING,1995,29:6,525-530.
APA GONG, DJ,GEN, M,XU, WX,&YAMAZAKI, G.(1995).HYBRID EVOLUTIONARY METHOD FOR OBSTACLE LOCATION-ALLOCATION.COMPUTERS & INDUSTRIAL ENGINEERING,29,6,525-530.
MLA GONG, DJ,et al."HYBRID EVOLUTIONARY METHOD FOR OBSTACLE LOCATION-ALLOCATION".COMPUTERS & INDUSTRIAL ENGINEERING 29(1995):6,525-530.
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