Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (4): 212-214.DOI: 10.3778/j.issn.1002-8331.2011.04.059

• 工程与应用 • Previous Articles     Next Articles

Particle swarm optimization based method for logistics center location problem

HUANG Minmei   

  1. Public Administration School,South China Normal University,Guangzhou 510006,China
  • Received:2010-07-23 Revised:2010-10-18 Online:2011-02-01 Published:2011-02-01
  • Contact: HUANG Minmei



  1. 华南师范大学 公共管理学院,广州 510006
  • 通讯作者: 黄敏镁

Abstract: Logistics center location is an important problem for logistics system planning.In order to get reasonable solution of logistics center problem,a mathematics model is made according to its characteristics.Particle swarm optimization based method for logistics center location is proposed on the basis of lowest cost.Program for the problem is coded in MATLAB.The proposed method is applied in solving warehouse location problem and solid waste logistics system.Computational results show that particle swarm optimization is superior compared with the exact center-of-gravity method,and prove the effectiveness and efficiency of the proposed algorithm.

Key words: logistics center, location, particle swarm, exact center-of-gravity method

摘要: 物流中心选址是物流系统规划中的重要决策问题。为了快速得到合理的物流中心选址方案,针对问题的特点给出了选址问题的模型,提出了以最小化物流成本为目标函数的粒子群优化算法,开发了模型求解的MATLAB程序,并将算法应用于求解工厂仓库选址和废弃物回收中转站选址问题。实例求解结果表明,该算法求解选址问题的性能优于精确重心法,具有良好的搜索性能和实用性。

关键词: 物流中心, 选址, 粒子群, 精确重心法

CLC Number: