• DocumentCode
    618048
  • Title

    Differential evolution: Performances and analyses

  • Author

    Padhye, Nikhil ; Mittal, Payal ; Deb, Kaushik

  • Author_Institution
    Dept. of Mech. Eng., Massachusetts Inst. of Technol., Cambridge, MA, USA
  • fYear
    2013
  • fDate
    20-23 June 2013
  • Firstpage
    1960
  • Lastpage
    1967
  • Abstract
    In this paper, we apply Differential Evolution (DE) algorithm in combination with a recently proposed constraint-handling strategy and study the performance 01´ the resulting algorithm on CEC´13 test suite [1], and other constrained optimization problems. The goal of this exercise is to clearly identify and highlight the challenges encountered with the DE search while solving a range of optimization problems. We emphasize that understanding and resolving fundamental issues of a search procedure and considering the nature of the optimization problems at hand is the key to effective deployment of evolutionary procedures for search and optimization.
  • Keywords
    constraint handling; evolutionary computation; search problems; CEC´13 test suite; DE search algorithm; constrained optimization problems; constraint-handling strategy; differential evolution algorithm; evolutionary procedure; search procedure; Power capacitors; Sociology; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2013 IEEE Congress on
  • Conference_Location
    Cancun
  • Print_ISBN
    978-1-4799-0453-2
  • Electronic_ISBN
    978-1-4799-0452-5
  • Type

    conf

  • DOI
    10.1109/CEC.2013.6557799
  • Filename
    6557799