• DocumentCode
    3347215
  • Title

    Evolutionary Algorithms Based on Cellular Automata for Function Optimization

  • Author

    Yong-zhi, Zhang ; Yi-ming, Bi

  • Author_Institution
    Dept. of Math & Mil. Oper. Res., Xi´´an Res. Inst, Xi´´an, China
  • fYear
    2011
  • fDate
    21-23 Oct. 2011
  • Firstpage
    277
  • Lastpage
    279
  • Abstract
    Parallel computation is an efficient way to solve the complex large-scale science and engineering problems. Cellular automata based evolutionary algorithms report some good results in the field of function optimization due to its intrinsic feature of parallel computing. This paper analyzed an evolutionary algorithm based on cellular automata for multimodal functions and discussed the operators and its roles in algorithms.
  • Keywords
    cellular automata; evolutionary computation; cellular automata; complex large-scale engineering problems; complex large-scale science problems; evolutionary algorithms; function optimization; multimodal functions; parallel computation; Automata; Computational modeling; Evolutionary computation; Lattices; Learning automata; Optimization; Programming; cellular automata; evolutionary algorithm; function optimization; parallel computation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation, Measurement, Computer, Communication and Control, 2011 First International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-4519-6
  • Type

    conf

  • DOI
    10.1109/IMCCC.2011.76
  • Filename
    6154054
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3347215