• DocumentCode
    3561917
  • Title

    Comparison of methods for developing dynamic reduced models for design optimization

  • Author

    Khaled, Rilla ; Ni, Xiao ; Vattam, Swaroop

  • Author_Institution
    Dept. of Comput. Sci., Georgia Univ., Athens, GA, USA
  • Volume
    1
  • fYear
    2002
  • Firstpage
    390
  • Lastpage
    395
  • Abstract
    In this paper, we compare three methods for forming reduced models to speed up genetic algorithm (GA) based optimization. The methods work by forming functional approximations of the fitness function which are used to speed up the GA optimization by making the genetic operators more informed. Empirical results in several engineering design domains are presented
  • Keywords
    CAD; design engineering; function approximation; genetic algorithms; mathematical operators; reduced order systems; algorithm speedup; design optimization; dynamic reduced model development methods; engineering design domains; fitness function; functional approximations; genetic algorithm; informed genetic operators; Aircraft; Artificial intelligence; Computational modeling; Computer science; Design engineering; Design optimization; Genetic engineering; Multidimensional systems; Optimization methods; Response surface methodology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
  • Print_ISBN
    0-7803-7282-4
  • Type

    conf

  • DOI
    10.1109/CEC.2002.1006266
  • Filename
    1006266
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3561917