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RSB-CWS算法解决CVRP问题
引用本文:晁晓菲,韩安. RSB-CWS算法解决CVRP问题[J]. 价值工程, 2012, 31(20): 221-222
作者姓名:晁晓菲  韩安
作者单位:1. 西北农林科技大学信息工程学院,杨凌,712100
2. 天地(常州)自动化股份有限公司,常州,213015
基金项目:西北农林科技大学2009年留学回国人员科研启动费
摘    要:RSB-CWS算法结合了蒙特卡洛模拟和CWS节省算法,利用蒙特卡洛模拟对CWS算法节省列表中顾客对间的边进行模拟,模拟过程中采用基于类几何分布的直接抽样方法进行路径采样。对模拟得到的边序列应用CWS算法,所得解的质量能达到或者优于当前最优解.与其他CVRP问题算法相比具有高效、高质量的特点,且可以解决规模较大的CVRP问题。

关 键 词:有容量约束的车辆路径问题  蒙特卡洛模拟  节省算法  路径模拟

RSB-CWS Algorithm to Solve the CVRP Problem
CHAO Xiao-fei , HAN An. RSB-CWS Algorithm to Solve the CVRP Problem[J]. Value Engineering, 2012, 31(20): 221-222
Authors:CHAO Xiao-fei    HAN An
Affiliation:①CHAO Xiao-fei;②HAN An(①College of Information Engineering,Northwest A&F University,Yangling 712100,China;②Tiandi(Changzhou)Automation Co.,Ltd.,Changzhou 213015,China)
Abstract:RSB-CWS algorithm combined MCS with CWS was proposed for the capacitated vehicle routing problem,it employ MCS algorithm to simulate the edges between customers of CWS algorithm,during the simulation,a quasi-geometric distribution is used to do the edge sampling.Apply CWS algorithm on the new edge sequences and get equal or better solutions.Compared to other CVRP algorithms,RSB-CWS algorithm is more efficent and getting better solutions,at the same time,RSB-CWS algorithm can also solve larger CVRP problem easily.
Keywords:Capacited Vehicle Routing Problem  Monte Carlo Simulation  Saving Algorithm  Route Simulation
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