首页 | 本学科首页   官方微博 | 高级检索  
     检索      

改进的离散粒子群算法在配送问题中的应用
引用本文:胡书,张莉,彭文敏.改进的离散粒子群算法在配送问题中的应用[J].物流科技,2010,33(3):110-113.
作者姓名:胡书  张莉  彭文敏
作者单位:内江师范学院数学与信息科学学院,四川内江,641112
基金项目:四川省教育厅青年项目,项目编号:07ZB043
摘    要:为了解决配送问题,对离散粒子群优化算法进行改进,保留惯性权值对速度的影响,把粒子的解储存为数组形式.增加群体相似度和排斥算子来让粒子跳出局部最优;仿真结果与其它算法的结果进行对比,发现改进的粒子群算法能够找到更好的解,并且收敛速度快,能在一定程度上避免早熟现象。

关 键 词:DPSO  群体相似度  排斥算子  配送问题

Improved Discrete PSO Algorithm and its Application in Logistics Distribution Problem
HU Shu,ZHANG Li,PENG Wen-min.Improved Discrete PSO Algorithm and its Application in Logistics Distribution Problem[J].Logistics Management,2010,33(3):110-113.
Authors:HU Shu  ZHANG Li  PENG Wen-min
Institution:Neijiang Normal College/a>;College of Mathematic and Information/a>;Neijiang 641112/a>;China
Abstract:Discrete PSO algorithm is improved to solve distribution problem, keep the influence from the inertia weight to the speed, use array to store the answer of particle, add swarm similar level and repulsion operator to make the particle out of the local best. The simulation results show the improve of discrete PSO algorithm can find a better answer and the speed of convergence is more quickly, it also can avoid premature of particle swarm optimization.
Keywords:DPSO  swarm similar level  repulsion operator  logistic distribution problem  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号