• DocumentCode
    1869600
  • Title

    A method for chromosome handling of r-permutations of n-element set in genetic algorithms

  • Author

    Üçoluk, Göktürk

  • Author_Institution
    Dept. of Comput. Eng., Middle East Tech. Univ., Ankara, Turkey
  • fYear
    1997
  • fDate
    13-16 Apr 1997
  • Firstpage
    55
  • Lastpage
    58
  • Abstract
    Combinatorial optimisation problems are in the domain of Genetic Algorithms (GA) interest. Unfortunately ordinary crossover and mutation operators cause problems for chromosome representations of permutations and some types of combinations. This is so because offsprings generated by means of the ordinary operators are of a great possibility no more valid chromosomes. A variety of methods and new operators that handle that sort of obscenities are introduced throughout the literature. A new method for representing r-permutations of n-elements as GA chromosomes has been introduced. In contrast to the conventional ones this proposed representation is not handicapped under crossover and mutation. The proposed method is used in various scheduling and timetabling GA applications problems and is observed to perform extremely well
  • Keywords
    combinatorial mathematics; genetic algorithms; optimisation; chromosome handling; chromosome representations; combinatorial optimisation problems; genetic algorithms; mutation operators; n-element set; r-permutations; Biological cells; Encoding; Engines; Genetic algorithms; Genetic mutations; Optimization methods; Springs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 1997., IEEE International Conference on
  • Conference_Location
    Indianapolis, IN
  • Print_ISBN
    0-7803-3949-5
  • Type

    conf

  • DOI
    10.1109/ICEC.1997.592268
  • Filename
    592268