• DocumentCode
    3620291
  • Title

    Real-parameter optimization using the mutation step co-evolution

  • Author

    P. Posik

  • Author_Institution
    Dept. of Cybern., Czech Tech. Univ., Prague, Czech Republic
  • Volume
    1
  • fYear
    2005
  • fDate
    6/27/1905 12:00:00 AM
  • Firstpage
    872
  • Abstract
    An evolutionary algorithm for the optimization of a function with real parameters is described in this paper. It uses a cooperative co-evolution to breed and reproduce successful mutation steps. The algorithm described herein is then tested on a suite of 10D and 30D reference optimization problems collected for the special session on real-parameter optimization of the IEEE Congress on Evolutionary Computation 2005. The results are of mixed quality (as expected), but reveal several interesting aspects of this simple algorithm
  • Keywords
    "Genetic mutations","Covariance matrix","Evolutionary computation","Testing","Cybernetics","Humans","Optimal control","Chemicals","Clouds","Particle swarm optimization"
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2005. The 2005 IEEE Congress on
  • Print_ISBN
    0-7803-9363-5
  • Type

    conf

  • DOI
    10.1109/CEC.2005.1554775
  • Filename
    1554775
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3620291