• DocumentCode
    2118887
  • Title

    The Research about Balanced Route MTSP Based on Hybrid Algorithm

  • Author

    Hong-li, Xu ; Cheng-ming, Zhang

  • Author_Institution
    Inf. Inst., Shandong Agric. Univ., Taian
  • fYear
    2009
  • fDate
    27-28 Feb. 2009
  • Firstpage
    533
  • Lastpage
    536
  • Abstract
    MTSP included two categories: the first, distributed visit cities (points) number to every salesman, the distribution required balanced cities number. Second distributed MTSP walking distance to every salesman, it required balanced path length. For the MTSP which balance route, designed the hybrid algorithm, it based on genetic algorithms and 2-opt algorithm. The coding method, algorithm steps and the MTSP object function is given. Coefficient k in objective function is given, which adjust the ratio of proportionality and route. In order to split MTSP into single TSP, bring up virtual point concept, and set them. In order to minimize the total journey length, salesman always chooses point near center point, the corresponding sample and experiment results are given.
  • Keywords
    encoding; genetic algorithms; graph theory; travelling salesman problems; 2-opt algorithm; coding method; genetic algorithms; graph theory; hybrid algorithm; multiple traveling salesman problem; Algorithm design and analysis; Cities and towns; Electronic mail; Genetic algorithms; Genetic mutations; Legged locomotion; Polynomials; Software algorithms; Traveling salesman problems; Virtual manufacturing; MTSP; balanced MTSP; hybrid algorithm; virtual settings;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Software and Networks, 2009. ICCSN '09. International Conference on
  • Conference_Location
    Macau
  • Print_ISBN
    978-0-7695-3522-7
  • Type

    conf

  • DOI
    10.1109/ICCSN.2009.115
  • Filename
    5076908