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基于改进遗传算法的连锁便利店配送路径优化研究

Research on Chain Convenience Store Distribution Route Optimization Based on Improved Genetic Algorithm
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摘要 针对零售超市较高的送货时间段、服务时间要求,构建以配送费用最小为目标的带时间窗物流配送路径优化模型,以优化零售小店物流配送网络、提高物流配送质量为目的,采用改进遗传算法对模型进行求解。以石家庄部分苏宁小店为例,对其物流配送路径进行研究,优化后路径配送费用比优化前降低21.5%,研究结果为企业确定经济、合理的配送路径提供参考。 Aiming at the high demand of delivery time and service time in retail supermarket,an optimization model of distribution route with time window is constructed to minimize the distribution cost,in order to optimize the distribution network of retail stores and improve the quality of distribution,an improved genetic algorithm is used to solve the model.Taking some Su-ning stores in Shijiazhuang as an example,this paper studies the distribution route of logistics,and the cost of the optimized route is 21.5%lower than that of the optimized route.
作者 魏子秋 熊英翔 WEI Ziqiu;XIONG Yingxiang(School of Economics and Management,Hebei University of Science and Technology,Shijiazhuang 050000,China)
出处 《物流科技》 2022年第4期33-36,共4页 Logistics Sci-Tech
关键词 遗传算法 物流配送 路径优化 genetic algorithm logistics distribution route optimization
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