• DocumentCode
    2635556
  • Title

    Method to achieve better performance in genetic algorithms applied to time-constrained, multi-solution problems

  • Author

    Dickens, T.P. ; Karr, C.L.

  • Author_Institution
    Boeing Co., Seattle, WA
  • fYear
    1998
  • fDate
    21-23 May 1998
  • Firstpage
    2
  • Lastpage
    9
  • Abstract
    It has been demonstrated that a periodic complete reinitialization of a running genetic algorithm (GA) solution will result in a higher convergence rate for a series of problems. This technique, referred to as the “total-comet-strike” operator, has been applied to a number of multi-solution GA problems. Where it has been used, an improvement has been shown both in the number of cases that converge within an imposed time limit and in the average time required for each case
  • Keywords
    convergence of numerical methods; genetic algorithms; image processing; convergence; genetic algorithms; image transformation; time-constrained multiple solution problems; total-comet-strike operator; Artificial intelligence; Automatic control; Control system synthesis; Genetic algorithms; Inductors; Monitoring; Prototypes; Real time systems; Safety; Software prototyping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence and Systems, 1998. Proceedings., IEEE International Joint Symposia on
  • Conference_Location
    Rockville, MD
  • Print_ISBN
    0-8186-8548-4
  • Type

    conf

  • DOI
    10.1109/IJSIS.1998.685406
  • Filename
    685406