Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (21): 246-248.

• 工程与应用 • Previous Articles    

Combinated optimization algorithm of PSO and SFLA to solve vehicle routing problem

ZHANG Siliang,GE Hongwei   

  1. School of Information Engineering,Jiangnan University,Wuxi,Jiangsu 214122,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-07-21 Published:2011-07-21

粒子群和蛙跳的混合算法求解车辆路径问题

张思亮,葛洪伟   

  1. 江南大学 信息工程学院,江苏 无锡 214122

Abstract: A modified Particle Swarm Optimization(PSO) algorithm is adopted to deal with Vehicle Routing Problem(VRP).This algorithm combines optimization algorithm of PSO with Shuffled Leap-Frog Algorithm(SLFA).PSO algorithm is adopted to produce a stage solution;the leap-frog algorithm search is used to optimize the stage optimal solution.From the test results,it is shown that this algorithm is effective and practicable.

Key words: vehicle routing problem, Particle Swarm Optimization(PSO), shuffled leap-frog algorithm

摘要: 提出一种求解物流配送车辆路径问题的改进粒子群算法。新算法采用粒子群算法产生阶段最优解,利用蛙跳算法对阶段最优解进一步优化。实验表明,此算法是解决车辆路径问题的一个有效算法。

关键词: 车辆路径问题, 粒子群算法, 蛙跳算法