• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 22 Issue 6
Mar.  2010
Turn off MathJax
Article Contents
LIU Jingyu, FANG Yanjun. Urban Vehicle Routing Based on Ant Colony Algorithm[J]. Journal of Southwest Jiaotong University, 2009, 22(6): 912-917.
Citation: LIU Jingyu, FANG Yanjun. Urban Vehicle Routing Based on Ant Colony Algorithm[J]. Journal of Southwest Jiaotong University, 2009, 22(6): 912-917.

Urban Vehicle Routing Based on Ant Colony Algorithm

  • Received Date: 16 Apr 2007
  • Publish Date: 20 Jan 2010
  • To solve the problem of urban traffic vehicle routing,an improved ant colony system(ACS) algorithm was proposed.The algorithm focuses on both distance and time costs of path planning.Its search rules and flow charts were given.Based on extensive simulation results,the effects of parameters of the algorithm on the convergence performance,including convergence rate and convergence accuracy,were discussed,and a set of empirical parameters were obtained.The reasons for fake optimal paths involved in the search were analyzed.Further,the algorithm was optimized by controlling the convergence rate and forcing the convergence toward to the optimal path.The simulation result indicates that the optimization is effective in restraining fake optimal paths and has a convergence rate within 2 cycles per search.

     

  • loading
  • 吴启迪,汪镭.智能蚁群算法及应用[M].上海:上海科技出版社,2004.[2] VLACHOGIANNIS J G,HATZIARGYRIOU N D,LEE K Y.Ant colony system-based algorithm for constrained load flow problem[J].IEEE Transactions on Power Systems,2005,20(3):1241-1249.[3] DORIGO M,GAMBARDELLA M.Ant colonies for the travelling salesman problem[J].BioSystems,1997:73-81.[4] DORIGO M,GAMBARDELLA M.Ant colony system:a cooperative learning approach to the traveling salesman problem[J].IEEE Transactions on Evolutionary Computation,1997,1 (1):53-66.[5] RIZZOLI A E,OLIVERIO F,MONTEMANNI R,et al.Ant colony optimisation for vehicle routing problems:from theory to applications[J].Reports of Istituto Dalle Molle di Studi sullIntelligenza Artificiale,2004,9 (1):1-50.[6] 刘志硕,中金升,柴跃廷.基于自适应蚁群算法的车辆路径问题研究[J].控制与决策,2005,20(5):562-566.LIU Zhishuo,SHEN Jinsheng,CHAI Yueting.Vehicle routing problem based on an adaptive ant colony algorithm[J].Control and Decision,2005,20(5):562-566.[7] 王旭,崔平远,陈阳舟.基于蚁群算法求路径规划问题的新方法及仿真[J].计算机仿真,2005,22(7):60-64.WANG Xu,CUI Pingyuan,CHEN Yangzhou.A new method and simulation for path planning problem based on ant colony algorithm[J].Computer Simulation,2005,22 (7):60-64.[8] BULLNHEIMER B,HARTL R F,STRAUSS C.Applying the ant system to the vehicle routing problem[C]//Proceeligs of 2nd International Conference on Metaheuristies.Vienna,INRIA PRiSM-Versailles,1997:1-12.[9] 吴必军,李利新,雷小平.基于城市道路数据库的最短路径搜索[J].西南交通大学学报,2003,38(1):80-83.WU Bijun,LI Lixin,LEI Xiaoping.Shortest path searching based on city road database[J].Journal of Southwest Jiaotong University,2003,38(1):80-83.[10] BULLNHEIMER B,HARTL R F,STRAUSS C.An improved ant system algorithm for the vehicle routing problem[J].Annals of Operations Research,1999,8(9):319-328.[11] 金飞虎,洪炳熔,高庆吉.基于蚁群算法的自由飞行空间机器人路径规划[J].机器人,2002,24(6):526-529.JIN Feihu,HONG Binrong,GAO Qingji.Path planning for free-flying space robot using ant algorithm[J].Robot,2002,24(6):526-529.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Article views(1683) PDF downloads(615) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return