• DocumentCode
    2504498
  • Title

    DNA Computing for Traveling Salesman Problem

  • Author

    Liu Xikui ; Yan, Li

  • Author_Institution
    Coll. of Inf. & Eng., Shandong Univ. of Sci. & Technol., Qingdao, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, Genetic algorithms is applied to traveling salesman problem whose solution requires encoding of real values in DNA strands. Encode weights in DNA computing is an important but challenging problem because many practical applications in the real world involve weights. In order to efficiently encode weights in DNA strands, we firstly proposed two definitions, the order number of weight and the relative length graph. And then, by means of the two definitions, we have devised a new method of encoding weights in DNA strands for a weighted graph. DNA algorithm solving the traveling salesman problem is given. The effectiveness of the proposed method is verified by simulation. The method was applied to solve the traveling salesman problem, and it can be expanded to solve other numerical optimization problems.
  • Keywords
    DNA; biocomputing; encoding; genetic algorithms; graph theory; DNA computing; DNA strand encode weight; Genetic algorithm; numerical optimization problem; relative length graph; traveling salesman problem; Cities and towns; Costs; DNA computing; Educational institutions; Encoding; Genetic algorithms; Optimization methods; Sequences; Shortest path problem; Traveling salesman problems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2901-1
  • Electronic_ISBN
    978-1-4244-2902-8
  • Type

    conf

  • DOI
    10.1109/ICBBE.2009.5162655
  • Filename
    5162655