基于微粒群优化算法的物流配送中心选址问题研究

Logistics Distribution Center Allocation Based on Particle Swarm Optimization Algorithm

结合物流配送中心选址的特点,建立数学模型,在此基础上研究了基于微粒群算法的物流多配送中心选址问题,得到一种新的多配送中心选址方法。仿真结果证明此方法比传统选址方法更适合多配送中心选址和非线性问题的优化,并且具有传统算法所不具备的灵活性,适用多样的物流配送模型。

According to the characteristics of logistics distribution center allocation, the paper establishes a math model and proposes a new method of logistics distribution center allocation based on Particle Swarm Optimization Algorithm. The experimental results show that the new algorithm is more suitable and adaptive to the optimization for multi-logistics distribution center allocation and non-linear problem than conventional algorithms.