• DocumentCode
    239366
  • Title

    Differential evolution with rotation-invariant mutation and competing-strategies adaptation

  • Author

    Bujok, Petr ; Tvrdik, Josef ; Polakova, Radka

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Ostrava, Ostrava, Czech Republic
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    2253
  • Lastpage
    2258
  • Abstract
    A new variant of the adaptive differential evolution algorithm was proposed and tested experimentally on the CEC 2014 test suite. In the new variant, the adaptation is based on the competition of several strategies. A part of strategies in the pool uses the rotation-invariant current-to-pbest mutation in the novel algorithm. The aim of the experimental comparison was to find whether the presence of the rotation-invariant strategy is able to improve the efficiency of the differential evolution algorithm, especially in problems with rotated objective functions. The results of the experiments showed that the new variant performed well in a few of the test problems, while no apparent benefit was observed in the majority of the benchmark problems.
  • Keywords
    evolutionary computation; CEC 2014 test suite; adaptive differential evolution algorithm; benchmark problems; competing-strategies adaptation; rotated objective functions; rotation-invariant current-to-pbest mutation; rotation-invariant mutation; Benchmark testing; Convergence; Linear programming; Optimization; Sociology; Statistics; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2014 IEEE Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-6626-4
  • Type

    conf

  • DOI
    10.1109/CEC.2014.6900626
  • Filename
    6900626