• DocumentCode
    507966
  • Title

    A Review on Cutting-Edge Techniques in Evolutionary Algorithms

  • Author

    Bao, Yun ; Zhao, Erbo ; Gan, Xiaocong ; Luo, Dan ; Han, Zhangang

  • Author_Institution
    Dept. of Syst. Sci., Beijing Normal Univ., Beijing, China
  • Volume
    5
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    347
  • Lastpage
    351
  • Abstract
    There are vast amount researches in Evolutionary Algorithms (EA). We need an overview of the current state of EA research every few years. This paper reviews some of the interesting researches at the current state in both theory and application of EA. Works in EA performance improvements are introduced in the sense of balancing between convergence speed and diversity in the population. The combination of EA with other methods is highlighted as a prospective area that may give fertility results. Some smart applications are reviewed in this paper, for example, application in nuclear power plant. The authors point out some research highlights and drawbacks in the conclusion. Future research suggestions are also given.
  • Keywords
    evolutionary computation; EA performance improvements; convergence speed; cutting-edge techniques; evolutionary algorithms; nuclear power plant; Artificial intelligence; Biomedical imaging; Evolution (biology); Evolutionary computation; Genetic algorithms; Genetic programming; Image sequence analysis; Medical diagnostic imaging; Particle swarm optimization; Signal processing algorithms; evolutionary algorithms; genetic algorithms; genetic programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2009. ICNC '09. Fifth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3736-8
  • Type

    conf

  • DOI
    10.1109/ICNC.2009.459
  • Filename
    5364257