A Genetic Approach for Long Term Virtual Organization Distribution

Victor Sanchez-Anguix, Soledad Valero, Ana Garcia-Fornes

    Research output: Contribution to journalArticlepeer-review

    2 Citations (Scopus)


    An agent-based Virtual Organization is a complex entity where dynamic collections of agents agree to share resources in order to accomplish a global goal or offer a complex service. An important problem for the performance of the Virtual Organization is the distribution of the agents across the computational resources. The final distribution should provide a good load balancing for the organization. In this article, a genetic algorithm is applied to calculate a proper distribution across hosts in an agent-based Virtual Organization. Additionally, an abstract multi-agent system architecture which provides infrastructure for Virtual Organization distribution is introduced. The developed genetic solution employs an elitist crossover operator where one of the children inherits the most promising genetic material from the parents with higher probability. In order to validate the genetic proposal, the designed genetic algorithm has been successfully compared to several heuristics in different scenarios.

    Original languageEnglish
    Pages (from-to)271-295
    Number of pages25
    JournalInternational Journal on Artificial Intelligence Tools
    Issue number2
    Publication statusPublished - 2011


    • Virtual organizations
    • genetic algorithms
    • multi-agent systems


    Dive into the research topics of 'A Genetic Approach for Long Term Virtual Organization Distribution'. Together they form a unique fingerprint.

    Cite this