• DocumentCode
    620329
  • Title

    The MTSP optimal model suited for local-cross repeat path

  • Author

    Yingkai Xu ; Shan Kang ; Hui Lin

  • Author_Institution
    Univ. of Nottingham, Nottingham, UK
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    3522
  • Lastpage
    3525
  • Abstract
    Although many people have paid attention to the conventional MTSP problem and doing research on it, its constraint condition ”only one travelling salesman can pass by in each city” suffered from many limitations in reality. On the basis of conventional MTSP model, this article promotes it in adding the ”material transportation capacity” constraint condition and builds a new MTSP material transportation optimal model permitting the existence of local-cross repeat path. We use lingo software to solve the problem combined with an example. The result indicates that the new optimal model accords with fact well. Another advantage of this new model can also avoid the cumbersome process of the GA (Genetic Algorithm) and it is much easier to operate for researchers. Meanwhile, we can bring in other variants and constraint conditions on the basis of this new model and extend to build other models suited for specific needs.
  • Keywords
    constraint theory; genetic algorithms; materials handling; travelling salesman problems; GA; MTSP optimal model; constraint condition; cumbersome process; genetic algorithm; lingo software; material transportation capacity; material transportation optimal model; multitravelling salesman problem; repeat path; Cities and towns; Genetic algorithms; Materials; Optimization; Software; Transportation; Traveling salesman problems; MTSP; improvement; local-cross repeat path; material transportation; optimal model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6561558
  • Filename
    6561558