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Improved genetic algorithm for emergency logistics distribution vehicle routing problems

机译:改进的遗传算法求解应急物流配送车辆路径问题

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Based on the research on Vehicle Routing Problems (VRP), vehicle scheduling and operating work can be more rational, which consequently reduces the logistical cost on the condition of meeting the timeliness requirement of emergency logistics. In this paper, we give an analysis of the characteristics of VRP in emergency logistics. According to the practical situations of VRP, an improved genetic algorithm (GA) is proposed and applied to a general mathematical model established for VRP in emergency logistics in this paper. Simulation results show that the algorithm is feasible and effective.
机译:通过对车辆路径问题(VRP)的研究,可以使车辆的调度和操作工作更加合理,从而在满足应急物流及时性的前提下降低了物流成本。在本文中,我们分析了应急物流中VRP的特征。针对VRP的实际情况,提出了一种改进的遗传算法并将其应用于为应急物流中的VRP建立的通用数学模型。仿真结果表明该算法是可行和有效的。

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