• DocumentCode
    2982028
  • Title

    Duplicate genotypes in a genetic algorithm

  • Author

    Ronald, Simon

  • Author_Institution
    Nat. Key Centre for Social Applications of GIS, Adelaide Univ., SA, Australia
  • fYear
    1998
  • fDate
    4-9 May 1998
  • Firstpage
    793
  • Lastpage
    798
  • Abstract
    In a simple genetic algorithm (GA), building-block accumulation stops when the population converges. Premature convergence is a clear indication that this accumulation process has occurred insufficiently. In such a case, the final population members will not contain the best combination of building blocks. It is common practice to remove duplicate-population genotypes in a steady-state GA. This allows the process of building-block accumulation to continue for a greater period of time compared with a regular GA and typically results in better final population solutions. A striking observation is the fact that duplicates degrade GA quality early in a GA evolution run. The results show that diversity loss through duplicates is a serious weakness in the steady-state GA model
  • Keywords
    convergence; genetic algorithms; losses; algorithm quality degradation; building-block accumulation; diversity loss; duplicate genotypes; evolution; final population solutions; population convergence; premature convergence; steady-state genetic algorithm; Australia; Degradation; Encoding; Genetic algorithms; Geographic Information Systems; Steady-state; Tagging; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    0-7803-4869-9
  • Type

    conf

  • DOI
    10.1109/ICEC.1998.700153
  • Filename
    700153