• DocumentCode
    2668781
  • Title

    The Non-dominated Sorting Genetic Algorithm Based on Layered Target

  • Author

    Shi, LianShuan ; Chen, YinMei

  • Author_Institution
    Shool of Inf. Technol. Eng., Tianjin Univ. of Technol. & Educ., Tianjin, China
  • fYear
    2011
  • fDate
    1-3 Nov. 2011
  • Firstpage
    85
  • Lastpage
    88
  • Abstract
    An improved non-dominated sorting genetic algorithm based on layered objective is given. Two improvements on the traditional non-dominated sorting genetic algorithm are proposed that are new layer method (layered target) and the new selection mechanism (cycle through the first 1/2 layer according to the hierarchy). The simulation results show that the non-dominated sorting genetic algorithm based on layered target can effectively speed up the convergence rate of population.
  • Keywords
    genetic algorithms; layer method; layered objective; layered target; nondominated sorting genetic algorithm; population convergence rate; selection mechanism; Convergence; Evolutionary computation; Genetic algorithms; Pareto optimization; Sorting; Vectors; genetic algorithm; layered target; multi-objective optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems (ICINIS), 2011 4th International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4577-1626-3
  • Type

    conf

  • DOI
    10.1109/ICINIS.2011.62
  • Filename
    6104699
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2668781