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

机译:基于灰色关联度分析的三维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:燃料和废气的排放是运输造成的环境污染的主要原因之一。在物流配送网络中,考虑客户满意度以及三维集装箱装卸约束和能耗问题,构建了一个复杂的NP-Hard问题的多目标车辆路径优化模型。提出了一种新颖的混合粒子群优化算法来求解多目标优化模型,该算法可以给出Pareto解集。为了帮助决策者从帕累托中选择一个平衡的最优参考方案,引入了灰色关联分析法对帕累托方案进行评价,得到了具有软窗约束的三维集装箱装车路线优化方案。研究结果表明,该优化算法是可行的。

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