• DocumentCode
    238672
  • Title

    Effect of varying the size of initial parent pool in genetic algorithm

  • Author

    Kanika ; Gupta, Rajesh

  • Author_Institution
    Inf. Technol., Banasthali Univ., Jaipur, India
  • fYear
    2014
  • fDate
    27-29 Nov. 2014
  • Firstpage
    785
  • Lastpage
    788
  • Abstract
    The first stage in genetic algorithms is initialization. There are several parameters in genetic algorithm that decides its speed of convergence and overall nature of problem solving. A relationship exists between the control parameters of different stages. In this paper the role of initialization is elaborated along with various methods that can be used for initializing the population. Initialization also affects the values of the parameters to be used at subsequent steps. Results of a study on how the size of initial population should be chosen are also presented in subsequent sections.
  • Keywords
    genetic algorithms; control parameter; genetic algorithm; parent pool size; population initialization; Biological cells; Convergence; Encoding; Genetic algorithms; Problem-solving; Sociology; Statistics; Encoding; exploration; size of population;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Contemporary Computing and Informatics (IC3I), 2014 International Conference on
  • Conference_Location
    Mysore
  • Type

    conf

  • DOI
    10.1109/IC3I.2014.7019687
  • Filename
    7019687