• DocumentCode
    314563
  • Title

    An efficient algorithm to solve the E-TSP

  • Author

    Al-Mulhem, Muhammed ; Al-Maghrabi, Tareq

  • Author_Institution
    Dept. of Inf. & Comput. Sci., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
  • Volume
    1
  • fYear
    1997
  • fDate
    25-28 May 1997
  • Firstpage
    269
  • Abstract
    The paper describes a hybrid algorithm that combines an adaptive type neural network algorithm and a non deterministic iterative algorithm to solve the Euclidean Traveling Salesman Problem (E-TSP). It begins with a brief introduction to TSP and E-TSP. Then, it presents the proposed algorithm with its two major components: the convex elastic net (CEN) algorithm and the non deterministic iterative improvement (NII) algorithm. These two algorithms are combined into an algorithm called Efficient Convex-Elastic Net (ECEN) algorithm. Experimental results are given to show that the proposed algorithm can find the nearly optimal solution for the E-TSP that outperform many similar algorithms reported in the literature. The paper concludes with the advantages of the new algorithm and possible extensions
  • Keywords
    iterative methods; neural nets; travelling salesman problems; Efficient Convex-Elastic Net algorithm; Euclidean Traveling Salesman Problem; adaptive type neural network algorithm; convex elastic net algorithm; hybrid algorithm; nearly optimal solution; non deterministic iterative algorithm; non deterministic iterative improvement algorithm; Cities and towns; Computer science; Costs; Euclidean distance; Iterative algorithms; Minerals; Neural networks; Operations research; Petroleum; Traveling salesman problems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 1997. Engineering Innovation: Voyage of Discovery. IEEE 1997 Canadian Conference on
  • Conference_Location
    St. Johns, Nfld.
  • ISSN
    0840-7789
  • Print_ISBN
    0-7803-3716-6
  • Type

    conf

  • DOI
    10.1109/CCECE.1997.614841
  • Filename
    614841