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Ax three dimensional packing vehicle routing problem based on grey relation analysis

机译:基于灰色关系分析的轴三维包装车路径问题

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Fuel and exhaust gas emission is one of the main causes of environmental pollution due to transportation. In the logistics distribution network, considering customer satisfaction and three-dimensional container loading restraint and energy consumption, a multiobjection optimization model of vehicle routing is constructed in this paper, which is complex NP-Hard problem. A novel hybrid particle swarm optimization algorithm is proposed for solving the multiobjection optimization model, which can give a Pareto solution set. In order to help the decision makers in choosing a balanced optimal reference solution from Pareto, grey relation analysis is introduced to evaluate Pareto solutions, and the three dimensional container loading vehicle routing optimization scheme with soft window constraint is obtained. The research results show that the optimization and the algorithm are feasible.
机译:燃料和废气排放是运输导致环境污染的主要原因之一。在物流配送网络中,考虑到客户满意度和三维集装箱装载约束和能耗,本文构建了车辆路由的多元化优化模型,这是复杂的NP难题。提出了一种新的混合粒子群优化算法来解决多态优化模型,其可以提供帕累托解决方案集。为了帮助决策者从帕累托中选择平衡的最佳参考解决方案,引入灰色关系分析来评估帕累托解决方案,并获得了具有软窗约束的三维容器装载车辆路由优化方案。研究结果表明,优化和算法是可行的。

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