Distributed Envy Minimization for resource allocation

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    9 Scopus citations

    Abstract

    The allocation of indivisible resources to multiple agents generates envy among the agents. An Envy Free allocation may not exist in general and one can search for a minimal envy allocation. The present paper proposes a formulation of this problem in a distributed search framework. Distributed Envy Minimization (DEM) - A Branch and Bound based distributed search algorithm for finding the envy minimizing allocation is presented and its correctness is proven. Two improvements to the DEM algorithm are presented - Forward Estimate (DEM-FE) and Forward Bound (DEM-FB). An experimental evaluation of the three algorithms demonstrates the benefit of using the Forward Estimate and Forward Bound techniques.

    Original languageEnglish
    Title of host publicationICAART 2013 - Proceedings of the 5th International Conference on Agents and Artificial Intelligence
    Pages15-24
    Number of pages10
    StatePublished - 27 May 2013
    Event5th International Conference on Agents and Artificial Intelligence, ICAART 2013 - Barcelona, Spain
    Duration: 15 Feb 201318 Feb 2013

    Publication series

    NameICAART 2013 - Proceedings of the 5th International Conference on Agents and Artificial Intelligence
    Volume1

    Conference

    Conference5th International Conference on Agents and Artificial Intelligence, ICAART 2013
    Country/TerritorySpain
    CityBarcelona
    Period15/02/1318/02/13

    Keywords

    • Distributed search
    • Envy Minimization
    • Indivisible goods
    • Resource allocation

    ASJC Scopus subject areas

    • Artificial Intelligence

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