• DocumentCode
    2739687
  • Title

    Non-deterministic Algorithm for Routing Optimization: A Case Study

  • Author

    Jeng, Don Jyh-Fu ; Watada, Junzo

  • Author_Institution
    Production & Syst. Waseda Univ., Fukuoka
  • fYear
    2007
  • fDate
    5-7 Sept. 2007
  • Firstpage
    423
  • Lastpage
    423
  • Abstract
    A routing optimization problem is solved by a non- deterministic algorithm in this paper. The DNA computing is applied for a case of cable trench problem. The cable trench problem is a combination of the shortest path problem and the minimum spanning tree problem, which makes it difficult to be solved by a conventional computing method. DNA computing is applied to overcome the limitation of a silicon-based computer. The numerical values are represented by the fixed-length DNA strands, and the weights are varied by the melting temperatures. Biochemical techniques with DNA thermodynamic properties are used for effective local search of the optimal solution.
  • Keywords
    biochemistry; biocomputing; thermodynamics; trees (mathematics); DNA computing; DNA thermodynamic properties; biochemical techniques; cable trench problem; minimum spanning tree problem; routing optimization problem; shortest path problem; Cost function; DNA computing; Gradient methods; Polynomials; Production systems; Routing; Shortest path problem; Temperature; Thermodynamics; Tree graphs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
  • Conference_Location
    Kumamoto
  • Print_ISBN
    0-7695-2882-1
  • Type

    conf

  • DOI
    10.1109/ICICIC.2007.408
  • Filename
    4428065