HYBRID EVOLUTIONARY METHOD FOR OBSTACLE LOCATION-ALLOCATION
GONG, DJ; GEN, M; XU, WX; YAMAZAKI, G
刊名COMPUTERS & INDUSTRIAL ENGINEERING
1995
卷号29页码:6,525-530
关键词Location-allocation Problem Genetic Algorithms Evolutionary Strategy
ISSN号0360-8352
英文摘要In 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.
学科主题Computer Science, Interdisciplinary Applications ; Engineering, Industrial
语种英语
公开日期2012-11-12
内容类型期刊论文
源URL[http://ir.casipm.ac.cn/handle/190111/5475]  
专题科技战略咨询研究院_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)
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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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