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基于蚁群算法的智能运输调度问题的研究
引用本文:吴宗彦,王景华,张建军,张利. 基于蚁群算法的智能运输调度问题的研究[J]. 计算机工程与应用, 2006, 42(35): 11-14
作者姓名:吴宗彦  王景华  张建军  张利
作者单位:合肥工业大学,计算机与信息学院,合肥,230009;合肥工业大学,机械与汽车工程学院,合肥,230009
基金项目:国家高技术研究发展计划(863计划)
摘    要:在智能运输调度问题的整体法求解思路的基础上,给出了整体法求解智能运输调度问题的数学模型。针对车辆调度问题是个多项式复杂程度的非确定性(Non-determ inisti cPolynomial,NP)难题,在整体法的基础上引入了蚁群算法,给出了整体法求解智能运输调度问题的蚁群算法,并对模型进行了实验分析。

关 键 词:智能运输调度  启发式算法  蚁群算法
文章编号:1002-8331(2006)35-0011-04
收稿时间:2006-09-01
修稿时间:2006-09-01

Research of Intelligent Vehicle Scheduling Problem Based on Ant Colony Algorithm
WU Zong-yan,WANG Jing-hua,ZHANG Jian-jun,ZHANG Li. Research of Intelligent Vehicle Scheduling Problem Based on Ant Colony Algorithm[J]. Computer Engineering and Applications, 2006, 42(35): 11-14
Authors:WU Zong-yan  WANG Jing-hua  ZHANG Jian-jun  ZHANG Li
Affiliation:1.School of Computer and Information Engineering,Hefei University of Technology, Hefei 230009,China ; 2.School of Machinery and Automobile Engineering,Hefei University of Technology, Hefei 230009, China
Abstract:In order to optimize the intelligent vehicle scheduling problem,this paper introduces a model of intelligent vehicle scheduling problem solving with the holistic method based on the theory of holistic method.As intelligent vehicle scheduling problem is a NP-hard problem,this paper adopts ant colony algorithm,and introduces a model based on holistic method combined with ant colony algorithm,and takes research on the model.
Keywords:intelligent vehicle scheduling  heuristic algorithm   ant colony algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
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