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首页> 外文期刊>Discrete dynamics in nature and society >Vehicle Routing Problem with Soft Time Windows Based on Improved Genetic Algorithm for Fruits and Vegetables Distribution
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Vehicle Routing Problem with Soft Time Windows Based on Improved Genetic Algorithm for Fruits and Vegetables Distribution

机译:基于改进遗传算法的果蔬配送时间软窗口车辆路径问题

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摘要

Fresh fruits and vegetables, perishable by nature, are subject to additional deterioration and bruising in the distribution process due to vibration and shock caused by road irregularities. A nonlinear mathematical model was developed that considered not only the vehicle routing problem with time windows but also the effect of road irregularities on the bruising of fresh fruits and vegetables. The main objective of this work was to obtain the optimal distribution routes for fresh fruits and vegetables considering different road classes with the least amount of logistics costs. An improved genetic algorithm was used to solve the problem. A fruit delivery route among the 13 cities in Jiangsu Province was used as a real analysis case. The simulation results showed that the vehicle routing problem with time windows, considering road irregularities and different classes of toll roads, can significantly influence total delivery costs compared with traditional VRP models. The comparison between four models to predict the total cost and actual total cost in distribution showed that the improved genetic algorithm is superior to the Group-based pattern, CW pattern, and O-X type cross pattern.
机译:由于道路不平整所引起的振动和冲击,新鲜的水果和蔬菜容易腐烂,在流通过程中还会进一步变质和擦伤。建立了一个非线性数学模型,该模型不仅考虑了带有时间窗的车辆路径问题,而且还考虑了道路不平整对新鲜水果和蔬菜瘀伤的影响。这项工作的主要目的是在考虑不同道路等级的情况下,以最少的物流成本获得新鲜水果和蔬菜的最佳分配路线。一种改进的遗传算法被用来解决该问题。以江苏省13个城市之间的水果配送路线为真实案例。仿真结果表明,与传统的VRP模型相比,带有时间窗的车辆路径问题,考虑到道路的不规则性和不同的收费公路,可以​​显着影响总交付成本。通过对四种用于预测总成本和实际总成本的模型进行比较,表明改进的遗传算法优于基于组的模式,CW模式和O-X型交叉模式。

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