• DocumentCode
    596754
  • Title

    A new hybrid method combining genetic algorithm and coordinate search method

  • Author

    Qiang Long ; Junjian Huang

  • Author_Institution
    Sch. of Sci., Inf. Technol. & Eng., Univ. of Ballarat, Ballarat, VIC, Australia
  • fYear
    2012
  • fDate
    18-20 Oct. 2012
  • Firstpage
    1072
  • Lastpage
    1077
  • Abstract
    This paper proposed a new hybrid method combining genetic algorithm(GA) and coordinate search method (CSM). Genetic algorithm is good at global exploration but bad at accuracy and local search. Whereas, coordinate search method is good at local exploitation, and its accuracy is reliable when searching in a local area. Thus we combine those two methods in this paper to design a hybrid method called genetic algorithm with coordinate search (GACS). Experimental tests shows that this method are good at both global search and local accuracy.
  • Keywords
    genetic algorithms; search problems; GACS; genetic algorithm with coordinate search hybrid method; global exploration; local exploitation; local search; Conferences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-1743-6
  • Type

    conf

  • DOI
    10.1109/ICACI.2012.6463337
  • Filename
    6463337