基于自适应小生境遗传算法的物流配送路径优化研究  

On the Optimization of Logistics Distribution Route Based on Self-adaption Niche Genetic Algorithm

作　　者：温金保[1] 蔡延光[1] 

机构地区：[1]广东工业大学自动化学院,广东广州510006

出　　处：《广东工业大学学报》2011年第1期20-23,共4页Journal of Guangdong University of Technology

基　　金：国家自然科学基金资助项目(61074147;60374062);广东省自然科学基金团队资助项目(835100900100002);广东省科技计划项目(2008B010200005)

摘　　要：针对遗传算法具有早熟的缺点和小生境遗传算法比遗传算法更费时的问题,将自适应小生境技术引入遗传算法,构建自适应小生境遗传算法,用以解决带时间窗的车辆路径优化问题.实验结果表明该算法具有更好的搜索能力和收敛速度,能有效地调和种群多样性与算法耗时的矛盾,解决物流配送车辆路径优化的问题.The genetic algorithm has the disadvantage of prematurity while the niche genetic algorithm is more time-consuming,so the self-adaption niche technology is introduced into the genetic algorithm to format the self-adaption niche genetic algorithm,which is used to solve the problem of logistics distribution route with time window.Experimental results show that the new algorithm has better global and local search ability and higher convergence speed.It can solve the problem between the population variety and computing time,and offer a more effective way to solve the problem with the logistics distribution route.

关 键 词：物流配送 遗传算法 自适应小生境遗传算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]