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基于蚁群算法的码头集装箱卡车路径优化研究
引用本文:葛盼盼,王继荣,李军,李海潮. 基于蚁群算法的码头集装箱卡车路径优化研究[J]. 物流科技, 2008, 31(12): 26-28
作者姓名:葛盼盼  王继荣  李军  李海潮
作者单位:青岛大学,山东,青岛,266071
摘    要:分析了集装箱码头作业流程及其传统作业工艺,提出了使用蚁群算法,以集装箱卡车到达目的地的距离最短为目标.建立集装箱卡车路径优化模型,为码头集装箱卡车寻求出发点与目的地之间的最短路径。实验表明,该方法能有效解决集卡最短路径搜索问题。

关 键 词:集装箱卡车  蚁群算法  最短路径

Research of the Routing Optimization for Container Trucks in Dock With ant Colony Algorithm
GE Pan-pan,WANG Ji-rong,LI Jun,LI Hai-chao. Research of the Routing Optimization for Container Trucks in Dock With ant Colony Algorithm[J]. Logistics Management, 2008, 31(12): 26-28
Authors:GE Pan-pan  WANG Ji-rong  LI Jun  LI Hai-chao
Affiliation:(Qingdao University, Qingdao 266071, China)
Abstract:In this paper,we analyze the process of container terminal operations and the traditional mode.Then,the routing optimization,which targets in the minimum route of container trucks is presented.The model is to seek the shortest route of container trucks which travels from the source to the destina-tion.It is proved by the experiments that the problem for the container truck to search the shortest path can be solved with ant colony algorithm effectively.
Keywords:container truck  ant colony algorithm  the short-est route
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