• DocumentCode
    3218572
  • Title

    Application of Genetic Algorithm to Network Design Problem

  • Author

    Zhang, Guoqiang ; Lu, Jian ; Xiang, Qiaojun

  • Author_Institution
    Key Lab. of Transp. Planning & Manage. ofJiangsu Province Transp. Coll., Southeast Univ., Nanjing
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Oct. 2008
  • Firstpage
    26
  • Lastpage
    29
  • Abstract
    Network design problem has originated in the practice of traffic engineering. Planning and designing road system has always been the most important task of traffic engineers. The objective of network design problem is to plan and design an improvement project for a road network systematically so that the total travel cost of the whole road system is minimized. Because of the complexity of the models, which are expressed as non-convex and bi-level programming, satisfactory solutions of network design problem are rather difficult to obtain by the traditional non-linear optimization algorithms. The paper has studied the models of network design problem and has designed a genetic algorithm. With a test road network as an example, it has shown the application of the new genetic algorithm to network design problem. Impacts of a model parameter upon solutions are then carefully analyzed and some meaningful conclusions and suggestions have been drawn.
  • Keywords
    genetic algorithms; road traffic; bi-level programming; genetic algorithm; network design problem; road network; traffic engineering; Algorithm design and analysis; Computer networks; Costs; Design engineering; Design optimization; Genetic algorithms; Roads; Telecommunication traffic; Traffic control; Transportation; genetic algorithm; network design problem; traffic engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3357-5
  • Type

    conf

  • DOI
    10.1109/ICICTA.2008.252
  • Filename
    4659436