• DocumentCode
    3210447
  • Title

    A perspective view on Travelling Salesman Problem using genetic algorithm

  • Author

    Geetha, R.R. ; Bouvanasilan, Nishaa ; Seenuvasan, Vasumathy

  • Author_Institution
    Dept. of Inf. Technol., Pondicherry Univ., Pondicherry, India
  • fYear
    2009
  • fDate
    9-11 Dec. 2009
  • Firstpage
    356
  • Lastpage
    361
  • Abstract
    The travelling salesman problem (TSP) is one of the extensively studied optimization problem. The numerous direct applications of the TSP bring life to the research area and help to direct future work. To solve this problem many techniques have been developed. Genetic algorithm is one among those which solves this problem by using the processes observed in natural evolution to solve various optimizations and search problems. This paper presents a complete survey on genetic algorithm techniques proposed by researchers for solving travelling salesman problem.
  • Keywords
    genetic algorithms; travelling salesman problems; genetic algorithm; natural evolution; optimization problem; travelling salesman problem; Biological cells; Cities and towns; Educational institutions; Encoding; Genetic algorithms; Genetic mutations; Information technology; Linear programming; Search problems; Traveling salesman problems; Genetic Algorithm; Travelling Salesman Problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4244-5053-4
  • Type

    conf

  • DOI
    10.1109/NABIC.2009.5393321
  • Filename
    5393321