• DocumentCode
    3104979
  • Title

    Comparative review of selection techniques in genetic algorithm

  • Author

    Shukla, Anupriya ; Pandey, Hari Mohan ; Mehrotra, Deepti

  • Author_Institution
    ASET, Amity Univ., Noida, India
  • fYear
    2015
  • fDate
    25-27 Feb. 2015
  • Firstpage
    515
  • Lastpage
    519
  • Abstract
    This paper compares various selection techniques used in Genetic Algorithm. Genetic algorithms are optimization search algorithms that maximize or minimizes given functions. Indentifying the appropriate selection technique is a critical step in genetic algorithm. The process of selection plays an important role in resolving premature convergence because it occurs due to lack of diversity in the population. Therefore selection of population in each generation is very important. In this study, we have reported the significant work conducted on various selection techniques and the comparison of selection techniques.
  • Keywords
    genetic algorithms; search problems; genetic algorithm; optimization search algorithms; premature convergence; selection techniques; Convergence; Genetic algorithms; Knowledge management; Market research; Sociology; Statistics; Wheels; Genetic Algorithm; Ranking Selection; proportionate roulette wheel selection; tournament selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE), 2015 International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-8432-9
  • Type

    conf

  • DOI
    10.1109/ABLAZE.2015.7154916
  • Filename
    7154916