• DocumentCode
    2047852
  • Title

    A nature-inspired algorithm for the disjoint paths problem

  • Author

    Blesa, Maria J. ; Blum, Christian

  • Author_Institution
    ALBCOM Res. Group, Univ. Politecnica de Catalunya, Barcelona
  • fYear
    2006
  • fDate
    25-29 April 2006
  • Abstract
    The edge-disjoint paths (EDP) problem The EDP problem is interesting for different research fields such as combinatorial optimization, algorithmic graph theory and operations research. In general, there is a lack of efficient algorithms for tackling the EDP problem. Only some greedy approaches and a preliminary ant colony optimization (ACO) approach (Blesa and Blum, 2004) exist for tackling the problem. The greedy approaches are used as approximation algorithms for theoretical purposes, but the quality of the solutions they obtain are susceptible to improvement. Based on the (basic) approach in Blesa and Blum (2004), we have evolved a more sophisticated ACO algorithm
  • Keywords
    artificial life; graph theory; optimisation; telecommunication network routing; ant colony optimization; edge-disjoint paths problem; nature-inspired algorithm; Communication networks; Communication switching; Contracts; Educational programs; Graph theory; Interference constraints; Load management; Magnetohydrodynamic power generation; Operations research; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium, 2006. IPDPS 2006. 20th International
  • Conference_Location
    Rhodes Island
  • Print_ISBN
    1-4244-0054-6
  • Type

    conf

  • DOI
    10.1109/IPDPS.2006.1639513
  • Filename
    1639513