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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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    基于蚁群禁忌混合算法的成品油多舱配送路径优化研究

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    论文类型:期刊论文

    发表时间:2022-06-29

    发表刊物:系统工程理论与实践

    所属单位:经济管理学院

    卷号:37

    期号:12

    页面范围:3215-3226

    ISSN号:1000-6788

    摘要:With different transport strategies,the refined oil secondary distribution could be divided into two modes:one claims that the different products required by a gas station must be entirely delivered by one single vehicle,and the other is permitted to use several vehicles.We formulate each mode as an integer programming model based on a multi compartment refined oil distribution model with the time window.An ant colony and tabu search hybrid algorithm (ACO-TS) with different solution strategies is proposed to solve those two models.Computational experiments are performed on 12 instances.The results show that the hybrid algorithm is highly effective and special neighborhood structures for the second model are advantageous in increasing solving speed.In addition,the second mode that different products required by a gas station may be brought by several vehicles could reduce the distribution cost and significantly increase the load rate with less vehicles.

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