Distributed Envy Minimization for resource allocation

Arnon Netzer, Amnon Meisels

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 - 2013
Externally publishedYes
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

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