• DocumentCode
    2522963
  • Title

    Approaching the fuzzy road transport traveling salesman problem by eugenic bacterial memetic, algorithm

  • Author

    Botzheim, János ; Foldesi, P.

  • Author_Institution
    Dept. of Autom., Szechenyi Istvan Univ., Gyor, Hungary
  • fYear
    2009
  • fDate
    21-25 Oct. 2009
  • Firstpage
    15
  • Lastpage
    22
  • Abstract
    The aim of the Traveling Salesman Problem (TSP) is to find the cheapest way of visiting all elements in a given set of cities and returning to the starting point. In solutions presented in the literature costs of travel between nodes (cities) are based on Euclidean distances, the problem is symmetric and the costs are constant. In this paper a novel construction and formulation of the TSP is presented in which the requirements and features of practical application in road transportation and supply chains are taken into consideration. Computational results are presented as well.
  • Keywords
    computational complexity; evolutionary computation; supply chain management; transportation; travelling salesman problems; Euclidean distances; eugenic bacterial memetic algorithm; fuzzy road transport; road transportation; supply chains; traveling salesman problem; Cities and towns; Computational intelligence; Costs; Logistics; Microorganisms; Polynomials; Road transportation; Supply chains; Traveling salesman problems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Intelligent Informatics, 2009. ISCIII '09. 4th International Symposium on
  • Conference_Location
    Luxor
  • Print_ISBN
    978-1-4244-5380-1
  • Electronic_ISBN
    978-1-4244-5382-5
  • Type

    conf

  • DOI
    10.1109/ISCIII.2009.5342281
  • Filename
    5342281