• DocumentCode
    2327595
  • Title

    Evoptool: An extensible toolkit for evolutionary optimization algorithms comparison

  • Author

    Valentini, Gabriele ; Malagò, Luigi ; Matteucci, Matteo

  • Author_Institution
    Dipt. di Elettron. e Inf. (DEI), Politec. di Milano, Milan, Italy
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper presents Evolutionary Optimization Tool (Evoptool), an optimization toolkit that implements a set of meta-heuristics based on the Evolutionary Computation paradigm. Evoptool provides a common platform for the development and test of new algorithms, in order to facilitate the performance comparison activity. The toolkit offers a wide set of benchmark problems, from classical toy examples to complex tasks, and a collection of implementations of algorithms from the Genetic Algorithms and Estimation of Distribution Algorithms paradigms. Evoptool is flexible and easy to extend, also with algorithms based on other approaches that go beyond Evolutionary Computation.
  • Keywords
    genetic algorithms; Evolutionary Optimization Tool; Evoptool toolkit; algorithm development; algorithm testing; distribution algorithm; evolutionary computation; evolutionary optimization algorithm comparison; genetic algorithm; optimization toolkit; Algorithm design and analysis; Bayesian methods; Benchmark testing; Estimation; Evolutionary computation; Libraries; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2010 IEEE Congress on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-6909-3
  • Type

    conf

  • DOI
    10.1109/CEC.2010.5586138
  • Filename
    5586138