• DocumentCode
    1603085
  • Title

    Possibilistic optimization problems with mutually t-related parameters

  • Author

    Soldatenko, I.S. ; Yazenin, A.V.

  • Author_Institution
    Dept. of Inf. Technol., Tver State Univ., Tver
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper investigates a possibilistic optimization problem where the parameters are mutually t-related (interactive). An indirect solution based on the construction of an equivalent crisp analogue is proposed. A genetic algorithm method is used to solve this crisp equivalent. Illustrative numerical examples are included.
  • Keywords
    genetic algorithms; possibility theory; crisp equivalent; genetic algorithm; mutually t-related parameters; possibilistic optimization problems; Calculus; Concrete; Context modeling; Fuzzy sets; Genetic algorithms; Information technology; Optimization methods; Shape; Space technology; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American
  • Conference_Location
    New York City, NY
  • Print_ISBN
    978-1-4244-2351-4
  • Electronic_ISBN
    978-1-4244-2352-1
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2008.4531249
  • Filename
    4531249
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1603085