• DocumentCode
    2396341
  • Title

    Cooperative ant colonies applied to resource allocation problem

  • Author

    Lee, Zne-Jung

  • Author_Institution
    Dept. of Inf. Manage., Kang-Ning Junior Coll. of Med. Care & Manage., Taiwan
  • Volume
    7
  • fYear
    2004
  • fDate
    26-29 Aug. 2004
  • Firstpage
    4150
  • Abstract
    In this paper, a novel algorithm of cooperative ant colonies is proposed to solve resource allocation problem. The resource allocation problem is to allocate the resources to activities with the objective of optimizing the cost function. In our study, cooperative ant colonies can provide a main portion of diversity in search space and can conduct fine-tuning for the solution provided by ant colonies to escape from poor local optima. In this paper, several examples are tested to prove the superiority of our proposed algorithm. From simulation results, the proposed algorithm indeed has remarkable performance.
  • Keywords
    cooperative systems; optimisation; problem solving; resource allocation; search problems; cooperative ant colony; cost function; optimization; problem solving; resource allocation; search space; Ant colony optimization; Computational complexity; Cost function; Educational institutions; Health information management; Machine learning; Machine learning algorithms; NP-complete problem; Resource management; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
  • Print_ISBN
    0-7803-8403-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2004.1384567
  • Filename
    1384567