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随着生鲜消费的日益增多,生鲜物流配送也面临着如何在快速安全的条件下满足人们对生鲜的需求,使消费者在最短的时间得到最新鲜产品的现实问题,提出带有时间窗的生鲜物流配送车辆路径问题.充分考虑配送距离、车辆固定成本、生鲜损耗等多种因素,设计以配送损耗为可变成本和车辆启动费用为固定成本之和最小的优化目标,建立带有时间窗生鲜损耗的配送模型.针对模型的特征,设计自适应遗传算法求解该模型.最后,结合仿真算例来验证模型与算法的有效性.
With the increasing consumption of fresh produce, fresh logistics and distribution also faces the realistic problem of how to meet people’s demand for freshness under fast and safe conditions so that consumers can get the freshest products in the shortest time, Window logistics and delivery vehicle routing problem.Considering the distribution distance, vehicle fixed costs, fresh loss and other factors, designed to minimize the optimization cost of transportation costs as a variable cost and vehicle startup costs for fixed costs, A distribution model with fresh loss of time window is established.According to the characteristics of the model, an adaptive genetic algorithm is designed to solve the model.Finally, simulation examples are used to verify the effectiveness of the model and the algorithm.