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题名: A hybrid genetic algorithm for two-layer location-routing problem
作者: Jin L(金莉) ; Zhu YL(朱云龙) ; Shen H(申海) ; Ku T(库涛)
作者部门: 工业信息学研究室
会议名称: 4th International Conference on New Trends in Information Science and Service Science, NISS2010
会议日期: May 11-13, 2010
会议地点: Gyeongju, Korea, Republic of
会议录: NISS2010 - 4th International Conference on New Trends in Information Science and Service Science
会议录出版者: IEEE Computer Society
会议录出版地: Piscataway, NJ
出版日期: 2010
页码: 642-645
收录类别: EI
ISBN号: 9788988678183
关键词: Distributed parameter networks ; Genetic algorithms ; Heuristic methods ; Information science ; Learning algorithms ; Logistics ; Tabu search
摘要: Location-routing problem (LRP) is a combinational optimization problem in a logistics system. Most heuristic methods employed for LRP is dividing the problem into location assignment and vehicle routing with a two-phase method, but this method often does not lead to a satisfactory result for the information can not be compressed from one phase to the other efficiently. In this paper we are concerned with a particular type of facility location problem in which there exists two echelons of facilities, and use a hybrid genetic algorithm to solve the problem regarding its solution as a whole, and thus easily obtain the optimal solution. Genetic algorithm uses a three-level chromosome coding method composed of binary code and integer code. Improving crossover and mutation with tabu search algorithm to increase search efficiency. The numerical results indicate that the method is feasible for practical applications.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8303
Appears in Collections:工业信息学研究室_会议论文

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