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Application of genetic local search Algorithm to Location-Allocation Problem in Reverse Logistics Network

Application of Genetic Local Search Algorithm to Location-Al...

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第一届交通运输工程国际学术会议

作者： YANG Guangzhi1, LI Qing1,2, and SUN Guangqi11 School of Transportation and Logistics Engineering, Dalian Maritime University,Dalian, China, 116031,2 School of management and social science,Dalian institute of light industry, Dalian,China, 116034,

Location-allocation problem is one of the important decision problems in designing logistics network. Reverse logistics plays a key role in current management strategy of many foreign and domestic enterprises. The complexity of reverse logistics makes the operation of logistics system more dependent on logistics network, so the location-allocation problem in reverse logistics network has been the most important problem in the logistics system management. The Location-allocation problem in designing reverse logistics network is analyzed in this paper at first, and then the mathematical model of the problem is formulated. In the model the logistics network is shared by forward logistics and reverse logistics, and the demanded quantities is considered as stochastic variable. The objective of the model is to optimize the total cost of the logistics system. Because the formulated model is NP-hard, genetic local search algorithm is designed to solve the problem. The local search is used in the algorithm to improve the search effectiveness. Simulations based on several numerical examples shows that the proposed mathematical model and the algorithm are effective.

关键词： reverse logistics location-allocation problem genetic local search

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A New genetic Algorithm for Web-based Negotiation Support System

A New Genetic Algorithm for Web-based Negotiation Support Sy...

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2003 International Conference on Natural Language Processing and Knowledge Engineering

作者： Zhou Zhi Ji Jun Zhao Fujun Deng Qiangang Computer School Wuhan University Administration Department of Graduate the Airforce Logistics college the 3rd Departmentthe Airforce Logistics college

ISBN: (纸本)0780379020

＜正＞Web-based negotiation support system not only should provide the convenience for communication, but also give efficient solution in reasonable time to eliminate conflict and improve the success probability of the ***,in this paper, we construct a multi object combination optimization model that can be handled easily by genetic algorithm for the negotiation problem first,and then, considering the global convergence,concurrency features,we use a new genetic algorithm that hybridize local meta heuristic mechanism to speed the search process,improve the efficiency and overcome shortcomings such as the premature and lacking of diversity ***,we give an example to demonstrate that the proposed method is feasible and efficient.

关键词： Web-based negotiation support system genetic local search metaheuristic

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