• DocumentCode
    2909780
  • Title

    A comparative study of discrete differential evolution on binary constraint satisfaction problems

  • Author

    Yang, Qingyun

  • Author_Institution
    Changchun Inst. of Opt., Chinese Acad. of Sci., Changchun
  • fYear
    2008
  • fDate
    1-6 June 2008
  • Firstpage
    330
  • Lastpage
    335
  • Abstract
    There are some variants and applications of the discretization of differential evolution. Performances of discrete differential evolution algorithms on random binary constraint satisfaction problem are studied in this paper, and a novel discrete differential evolution algorithm based on exchanging elements is proposed. We compare the proposed discrete differential evolution, evolutionary algorithms and discrete particle swarm optimization on random binary constraint satisfaction problems. Experimental results indicate though the proposed algorithm is simpler, it is competitive with other evolutionary algorithms solving constraint satisfaction problems.
  • Keywords
    constraint theory; evolutionary computation; discrete differential evolution; discrete particle swarm optimization; evolutionary algorithms; random binary constraint satisfaction problem; Artificial intelligence; Encoding; Evolutionary computation; Job shop scheduling; Natural language processing; Optimization methods; Particle swarm optimization; Process planning; Scheduling algorithm; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-1822-0
  • Electronic_ISBN
    978-1-4244-1823-7
  • Type

    conf

  • DOI
    10.1109/CEC.2008.4630818
  • Filename
    4630818