• DocumentCode
    2051388
  • Title

    Obtaining fuzzy solutions to the fuzzy solid transportation problem with genetic algorithms

  • Author

    Jiménez, Fernando ; Verdegay, José L.

  • Author_Institution
    Dept. Inf. y Sistemas, Murcia Univ., Spain
  • Volume
    3
  • fYear
    1997
  • fDate
    1-5 Jul 1997
  • Firstpage
    1657
  • Abstract
    The solid transportation problem arises when bounds are given on three item properties. Fuzzy solid transportation problem arises when the nature of the data problem is vague. This paper deals with the fuzzy solid transportation problem in the case in which the fuzzyness affects only in the constraint set, and a fuzzy solution to the problem is required. Moreover, an arbitrary linear or nonlinear objective function is considered. In order to end a fuzzy solution to the problem, a parametric approach is used in obtaining an auxiliary parametric solid transportation problem associated to the original problem. As there isn´t solution methods proposed in literature to solve the parametric solid transportation problem, in this paper is proposed a genetic algorithm based solution method, which can be applied to find a “good” fuzzy solution to the fuzzy solid transportation problem
  • Keywords
    fuzzy set theory; genetic algorithms; goods distribution; minimisation; nonlinear programming; transportation; auxiliary parametric solid transportation problem; constraint set; fuzzy solid transportation problem; genetic algorithms; linear objective function; nonlinear objective function; Cost function; Fuzzy sets; Genetic algorithms; Production facilities; Solids; Transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    0-7803-3796-4
  • Type

    conf

  • DOI
    10.1109/FUZZY.1997.619789
  • Filename
    619789