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Research on Vehicle Routing Problem with Stochastic Demand Based on Multi-objective Method

机译:基于多目标方法的随机需求车辆路径问题研究

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This paper was targeted at minimizing the expectation of traveling distance maximizing the expectation of customers' degree satisfaction, a multi-objective vehicle routing problem with stochastic demand (VRPSD) model based on soft time window was proposed. In order to solve the problem, a hybrid PSO algorithm based on Pareto optimization method was designed in this paper. The paper made the standard PSO algorithm discrete by re-defining operators and employing swap recon, utilized challenge tournament method to construct Pareto optimal solution set, applied an external archive to keep the diversity of solutions. Ultimately, a standard example is used to verify the validity of the algorithm.
机译:针对最小化出行距离的期望,最大化顾客满意度的期望,提出了一种基于软时间窗的多目标随机需求车辆路径问题(VRPSD)模型。为了解决这一问题,本文设计了一种基于Pareto优化方法的混合PSO算法。通过重新定义算子并采用交换侦察,使标准的PSO算法离散化,利用挑战赛方法构造Pareto最优解集,并应用外部档案来保持解的多样性。最终,使用一个标准示例来验证算法的有效性。

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