基于遗传算法的西安邮政配送中心选址研究

Location of Xi'an Post Logistics Distribution Center Based on Genetic Algorithm

从配送中心选址问题的实际需求出发,在综合考虑配送中心的建设经济性、交通便利性和功能布局合理性的基础上,构造了基于实际交通距离和实际地价的选址模型,并把遗传算法引入模型求解中,通过构造恰当的编码方式和遗传算子,对西安邮政物流配送中心的选址问题分别按照不考虑土地地价、需求点类型差异和考虑土地地价、需求点类型差异两种情况求解,得到了最优选址方案。研究结果证明了模型的正确性和有效性,对于解决大规模物流系统配送中心的选址问题具有重要的现实意义。

According to the practical needs of distribution center location, and considering the construction economy, transport facilitation and rational layout of the distribution center, a location model based on actual transport distance and land prices was built and the genetic algorithm was used to solve the location model. By constructing appropriate coding and genetic operator, the location of Xi＇an Post Logistics Distribution Center was solved respectively in two situations, namely ignoring or considering the price of the land and the difference of demand points to find out a solution. Finally, an optimal location program was presented. Simulation results show that the model is accurate and effective, and is of great importance to solving the large - scale logistics distribution center location.