Generalizing DPOP: Action-GDL, a new complete algorithm for DCOPs

  • Authors:
  • M. Vinyals;J. A. Rodriguez-Aguilar;J. Cerquides

  • Affiliations:
  • Spanish National Research Council;Spanish National Research Council;Universitat de Barcelona

  • Venue:
  • Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
  • Year:
  • 2009

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Abstract

In this paper we make three main contributions (fully detailed in [5]). Firstly, we formulate a new algorithm, the so-called Action-GDL, which extends GDL [1] to apply it to Distributed Constraint Optimization Problems (DCOPs). Secondly, we show that Action-GDL generalizes DPOP[4], a low-complexity, state-of-the-art algorithm to solve DCOPs. Finally, we provide empirical evidence showing that Action-GDL can outperform DPOP in terms of the amount of computation, communication and parallelism.