• DocumentCode
    2755474
  • Title

    Solenopsis: A Framework for the Development of Ant Algorithms

  • Author

    Brocco, Amos ; Hirsbrunner, Béat ; Courant, Michéle

  • Author_Institution
    Fribourg Univ.
  • fYear
    2007
  • fDate
    1-5 April 2007
  • Firstpage
    316
  • Lastpage
    323
  • Abstract
    Network resources management issues in complex and dynamic scenarios require decentralized solutions and adaptive systems to face critical and unattended situations. Bio-inspired techniques such as swarm intelligence algorithms, have proved to be robust and suitable for managing tasks like routing, load-balancing or resource discovery. In this paper we describe Solenopsis, a framework for the development, simulation and deployment of ant-algorithms, which is aimed at supporting network management middlewares. The system provides a modular and scalable environment that can be distributed over a network. Ants are coded using a simple programming language, and are able to migrate across nodes. Two basic load-balancing algorithms are presented and evaluated, as an example of how this tool works and can be used in practice.
  • Keywords
    middleware; particle swarm optimisation; resource allocation; Solenopsis; ant algorithms; bio-inspired techniques; load-balancing; network management middlewares; network resources management; resource discovery; swarm intelligence algorithms; Adaptive systems; Ant colony optimization; Artificial intelligence; Computer languages; Middleware; Particle swarm optimization; Resource management; Robustness; Routing; Scalability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Swarm Intelligence Symposium, 2007. SIS 2007. IEEE
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    1-4244-0708-7
  • Type

    conf

  • DOI
    10.1109/SIS.2007.367954
  • Filename
    4223191