• DocumentCode
    444817
  • Title

    A new hybrid evolutionary algorithm for high dimension electromagnetic problems

  • Author

    Grimaldi, E. Alfassio ; Gandelli, A. ; Grimaccia, F. ; Mussetta, M. ; Zich, R.E.

  • Author_Institution
    Dipt. di Elettrotecnica, Politecnico di Milano, Italy
  • Volume
    2A
  • fYear
    2005
  • fDate
    3-8 July 2005
  • Firstpage
    61
  • Abstract
    In this paper the authors present a new hybrid evolutionary algorithm, particularly suitable for high dimension electromagnetic problems. This method, called GSO, genetical swarm optimization, essentially combines the features of other two well known evolutionary algorithms, the genetic algorithms and particle swarm optimization.
  • Keywords
    computational electromagnetics; genetic algorithms; particle swarm optimisation; GSO; genetic algorithms; genetical swarm optimization; high dimension electromagnetic problems; hybrid evolutionary algorithm; particle swarm optimization; Convergence; Design engineering; Evolutionary computation; Genetic algorithms; Genetic engineering; Genetic mutations; Particle swarm optimization; Performance evaluation; Search methods; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium, 2005 IEEE
  • Print_ISBN
    0-7803-8883-6
  • Type

    conf

  • DOI
    10.1109/APS.2005.1551735
  • Filename
    1551735
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=444817