基于改进PSO算法的物流配送中心选址

Study on Location Allocation of Logistics Distribution Centers Based on Improved PSO

首先对物流配送中心选址进行分析,在考虑固定建设费用及运输成本等的基础上建立数学模型。针对模型的特点,采用流行的群智能算法—粒子群优化算法进行求解。在对基本粒子群算法的分析基础上,提出了改进的粒子群算法,克服了基本粒子群算法早熟以及易于陷入局部最优的缺点。利用典型的基准测试函数Shaffer对算法进行验证,最后给出仿真实例,证明了算法的合理性。

In this paper, we first analyzed the location allocation problem of the logistics distribution centers, then after considering the fixed construction cost and transportation cost, established a corresponding mathematical model, solved it using the PSO algorithm after improving it to overcome the shortcomings of the basic PSO which were the tendency toward prematurity and local optimization, and at the end through a simulation test, proved the validity of the algorithm.