首页 | 本学科首页   官方微博 | 高级检索  
     

定位-运输路线安排问题的改进离散粒子群优化算法
引用本文:彭扬,陈子侠,吴承键. 定位-运输路线安排问题的改进离散粒子群优化算法[J]. 智能系统学报, 2010, 5(1): 74-79. DOI: 10.3969/j.issn.1673-4785.2010.01.013
作者姓名:彭扬  陈子侠  吴承键
作者单位:浙江工商大学,计算机与信息工程学院,浙江,杭州,310018
基金项目:国家自然科学基金资助项目,浙江省科技计划重点资助项目 
摘    要:定位-运输路线安排问题(LRP)是集成物流中的一个NP-hard难题,为求解一类特殊的LRP问题,提出改进的离散粒子群优化算法.该方法采用整体优化的思想,将LAP和VRP集成在一起.通过合适的粒子编码方式,并改进粒子的运动方程,引入相应的变异算子和趋同扰动算子等,使得算法的适用性和性能获得了改善.通过仿真实验及与另2个典型算法的比较分析,证明了该算法的有效性.

关 键 词:定位-运输路线安排问题  离散粒子群优化  变异算子  进化算法

Improved discrete particle swarm optimization algorithm for location-routing problems
PENG Yang,CHEN Zi-xia,WU Cheng-jian. Improved discrete particle swarm optimization algorithm for location-routing problems[J]. CAAL Transactions on Intelligent Systems, 2010, 5(1): 74-79. DOI: 10.3969/j.issn.1673-4785.2010.01.013
Authors:PENG Yang  CHEN Zi-xia  WU Cheng-jian
Affiliation:PENG Yang,CHEN Zi-xia,WU Cheng-jian(College of Computer Science & Information Engineering,Zhejiang Gongshang University,Hangzhou 310018,China)
Abstract:The location-routing problem (LRP) is an NP-hard problem in integrated logistics systems.An improved discrete particle swarm optimization (PSO) algorithm was developed to tackle a special kind of LRP.It adopted the principle of whole optimization,integrating the location-allocation problem (LAP) with a vehicle routing problem (VRP).First,a novel code for the particle was introduced.Next,the particle's motion equation was improved,and the mutation operator and the disturbing operator against the population i...
Keywords:location routing problem  discrete particle swarm optimization  mutation operator  evolution algorithm  
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