关键词: 选址, 物流系统规划, 自适应粒子群算法, 物流集成

Abstract: In this paper, according to the pattern of “plant-distribution center-users” which is more realistic, a continuous location model of logistics distribution center is established, and a solving algorithm is proposed to solve the large-scale location problem. The algorithm is derived from the combination of improved ALA method with adaptive PSO whose robustness is stronger. In the algorithm, swarm size changes adaptively, the classical particles move equation is improved, the study factors are eliminated, the inertia factor changes adaptively according to fitness value, and the improvement of ALA method increases the algorithm efficiency. Numerical experiments show that the model has practical advantages to a certain extent, and that the algorithm whose optimization ability and robustness are stronger can effectively avoid getting the local optimal.

Key words: logistics system planning, adaptive particle swarm optimization algorithm, location problem, logistics integration