基于PBIL算法的物流中心选址问题研究  

Study on the Logistics Center Location Problem Based on PBIL Algorithm

作　　者：王晓波[1] 付珊珊[1] 吉玲[1] 杨亚 张海霞[1] 

机构地区：[1]河海大学物联网工程学院,常州213022

出　　处：《微处理机》2014年第2期58-59,62,共3页Microprocessors

摘　　要：介绍了基于种群竞争式学习的PBIL算法的基本原理和实现方法。比较了PBIL算法和遗传算法求解过程的异同点。分析了PBIL算法在物流中心选址问题中的应用,并且通过实例验证了算法的可行性和有效性,证明了PBIL算法比遗传算法具有更高的搜索效率。The principle and realization of PBIL（ Population- based Increased Learning） algorithm are introduced in this paper. The differences between PBIL algorithm and genetic algorithm are compared in their process. The application of logistics center location problem based on PBIL algorithm is analyzed. The feasibility and validity of improved algorithm is proved. The experiments result shown that the searching efficiency and accuracy of PBIL algorithm are higher than that of genetic algorithml

关 键 词：PBIL算法 进化计算 遗传算法 物流中心选址 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]