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    王旭坪

    • 教授     博士生导师   硕士生导师
    • 主要任职:Deputy Dean,School of Business,Dalian University of Technology
    • 性别:男
    • 毕业院校:大连理工大学
    • 学位:博士
    • 所在单位:系统工程研究所
    • 学科:管理科学与工程
    • 电子邮箱:wxp@dlut.edu.cn

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    A model and an improved genetic algorithm for the vehicle routing problem with break-down vehicles

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    论文类型:会议论文

    发表时间:2009-12-07

    收录刊物:EI、Scopus

    页面范围:696-699

    摘要:For solving the vehicle routing problem with disruption that may be vehicle breakdowns or traffic accidents in the logistics distribution system, the disruption recovery strategies and solutions are given based on the theory of disruption management. Disruption measurements are given and the disruption management model is built. For the attributes of the vehicle routing problem with disruption, a series of solving-simplify strategies are given to simplify the solution space. On the basis of the characteristics of the model, the improved genetic algorithm is designed to solve the problem. The representative results and analysis are given to prove the efficiently of the disruption management model and algorithm. ? 2009 IEEE.