Application Research on Location Selection of Logistics Distribution Center Based on Immune optimization algorithm

摘要

With logistics cost as objective function, the immune optimization algorithm was proposed to optimize the location selection of logistics distribution center. Feasibility analysis was conducted on the logistics demand points of 31 cities in China. Results indicated that the programming of the optimization algorithm based on Matlab was simple, with quick computing speed. It can solve the location problems with time restrictions as well as the traditional location problems without time restrictions. Therefore, such new algorithm is more effective than the gravity approach to solve the location problem of logistics center.