• DocumentCode
    2536759
  • Title

    Endocrine Control Evolutionary Algorithm

  • Author

    Rotar, Corina

  • Author_Institution
    1 Decembrie 1918 Univ., Alba Iulia, Romania
  • fYear
    2010
  • fDate
    23-26 Sept. 2010
  • Firstpage
    174
  • Lastpage
    181
  • Abstract
    The paper presents a new technique for the control of the population´s dynamic in evolutionary optimization. The technique is inspired by the endocrine system, respectively, by the control mechanism of the hormones concentration. The approach is suitable for multimodal optimization in static or dynamic environment. The major advantage of the proposal is given by the fact that there is no need of a supplementary mechanism for detecting the changes or an extra parameter for estimate the multiple optima vicinities.
  • Keywords
    evolutionary computation; dynamic environment; endocrine control evolutionary algorithm; hormones concentration; multimodal optimization; multiple optima vicinities estimation; population dynamic control; static environment; Aerospace electronics; Biochemistry; Endocrine system; Evolutionary computation; Glands; Heuristic algorithms; Optimization; dynamic environment; endocrine; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2010 12th International Symposium on
  • Conference_Location
    Timisoara
  • Print_ISBN
    978-1-4244-9816-1
  • Type

    conf

  • DOI
    10.1109/SYNASC.2010.27
  • Filename
    5715284