• DocumentCode
    1600305
  • Title

    Towards Termination Criteria of Ant Colony Optimization

  • Author

    Lv, Qiang ; Xia, Xiaoyan

  • Author_Institution
    Suzhou Univ., Suzhou
  • Volume
    5
  • fYear
    2007
  • Firstpage
    276
  • Lastpage
    282
  • Abstract
    Ant colony optimization (ACO for short) has been proved a successful meta-heuristic by a huge of empirical studies. This paper discusses the termination criteria of ACO and therefore provides research ideas to other meta-heuristics. A general discussion about four types of termination criteria has been firstly discussed in this article. Then some measures of convergence based on pheromone have been introduced. And a new termination criterion based on Bayesian approach is presented. Finally a new convergence proof for a class of ACO algorithms is presented.
  • Keywords
    Bayes methods; combinatorial mathematics; convergence; optimisation; Bayesian approach; ant colony optimization; convergence; meta-heuristics; termination criteria; Algorithm design and analysis; Ant colony optimization; Bayesian methods; Computer science; Convergence; Information processing; Physics computing; Space exploration; Stochastic processes; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2007. ICNC 2007. Third International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2875-5
  • Type

    conf

  • DOI
    10.1109/ICNC.2007.782
  • Filename
    4344852