蓄意攻击下第三方物流可靠性逆向网络设计

发布时间：2018-04-24 07:08

本文选题：第三方物流 + 逆向物流　；参考：《计算机集成制造系统》2017年09期

【摘要】：在考虑蓄意攻击的情况下,研究第三方物流可靠性逆向网络设计问题,并建立了多层优化模型,包括网络设计模型、蓄意攻击模型、网络流决策模型。网络设计模型用以优化第三方物流逆向网络结构、最小化总物流成本,同时使网络在遭受攻击后满足一定的服务水平;蓄意攻击模型通过选择攻击策略来最大程度地破坏网络;网络流决策模型用以优化被攻击后回收产品的返回量。根据优化模型的特点,设计了两层紧致遗传算法和基于加权图的网络流算法。上层两层紧致遗传算法求解第三方物流逆向网络设计问题;下层两层紧致遗传算法求解蓄意攻击问题;基于加权图的网络流算法求解攻击后的网络流决策问题。通过仿真实验验证了模型的合理性和算法的有效性。
[Abstract]:In this paper, the reverse network design of the reliability of third party logistics (TPL) is studied in consideration of intentional attack, and a multi-layer optimization model is established, including the network design model, the intentional attack model and the network flow decision model. The network design model is used to optimize the reverse network structure of the third party logistics, minimize the total logistics cost and make the network meet a certain level of service after being attacked. The network flow decision model is used to optimize the return of recovered products after attack. According to the characteristics of the optimization model, a two-layer compact genetic algorithm and a weighted graph based network flow algorithm are designed. The upper two layer tight genetic algorithm is used to solve the reverse network design problem of the third party logistics; the lower layer two layer tight genetic algorithm is used to solve the intentional attack problem; and the weighted graph based network flow algorithm is used to solve the network flow decision problem after attack. The rationality of the model and the validity of the algorithm are verified by simulation experiments.
【作者单位】：辽宁工业大学电子与信息工程学院;东北大学信息科学与工程学院;
【基金】：国家杰出青年科学基金资助项目(71325002,61225012) 国家自然科学基金重点国际合作研究资助项目(71620107003) 流程工业综合自动化国家重点实验室基础科研业务费资助项目(2013ZCX11) 辽宁省教育厅一般资助项目(L2015232)~~
【分类号】：TP18;TP309

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