• DocumentCode
    1640325
  • Title

    Diversity enhanced Adaptive Evolutionary Programming for solving single objective constrained problems

  • Author

    Mallipeddi, R. ; Suganthan, P.N. ; Qu, B.Y.

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
  • fYear
    2009
  • Firstpage
    2106
  • Lastpage
    2113
  • Abstract
    In Evolutionary Algorithms, the occurrence of premature convergence is due to lack of diversity in the population during the search process. The effect may be more predominant if the optimization problem includes constraints. In this paper we propose an explicit memory based diversity enhancement Adaptive Evolutionary Programming (DivEnh-AEP) method to solve constraint optimization problems of CEC 2006.
  • Keywords
    convergence; evolutionary computation; optimisation; constraint optimization problem; diversity enhancement adaptive evolutionary programming; evolutionary algorithm; explicit memory; premature convergence; search process; single objective constrained problem; Constraint optimization; Convergence; Evolutionary computation; Genetic mutations; Genetic programming; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2009. CEC '09. IEEE Congress on
  • Conference_Location
    Trondheim
  • Print_ISBN
    978-1-4244-2958-5
  • Electronic_ISBN
    978-1-4244-2959-2
  • Type

    conf

  • DOI
    10.1109/CEC.2009.4983201
  • Filename
    4983201
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1640325