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为使车辆路径问题模型更加符合物流管理的实际.提出了时相关模糊旅行时间的转运联盟车辆路径问题.构建了该问题的数学模型,然后针对该模型提出了基于动态规划和遗传算法相结合的混合遗传算法,最后通过模拟试验验证了模型和算法的有效性,该模型和优化方法对指导车辆调度问题具有重要的参考价值.
In order to make the model of vehicle routing more accord with the actuality of logistics management, this paper proposes a vehicle routing problem of transport-time associated fuzzy travel time.A mathematical model of the problem is constructed, and then a new algorithm based on dynamic programming and genetic algorithm The hybrid genetic algorithm is used to verify the effectiveness of the model and the algorithm through simulation experiments. The model and the optimization method have important reference value for guiding the vehicle scheduling problem.