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Solving Distributed Constraint Optimization Problems Using Cooperative Mediation

Published: 19 July 2004 Publication History

Abstract

Distributed Constraint Optimization Problems (DCOP) have, for a long time, been considered an important research area for multi-agent systems because a vast number of real-world situations can be modeled by them. The goal of many of the researchers interested in DCOP has been to find ways to solve them efficiently using fully distributed algorithms which are often based on existing centralized techniques. In this paper, we present an optimal, distributed algorithm called optimal asynchronous partial overlay (OptAPO) for solving DCOPs that is based on a partial centralization technique called cooperative mediation. The key ideas used by this algorithm are that agents, when acting as a mediator, centralize relevant portions of the DCOP, that these centralized subproblems overlap, and that agents increase the size of their subproblems as the problem solving unfolds. We present empirical evidence that shows that OptAPO performs better than other known, optimal DCOP techniques.

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  • (2019)A privacy preserving collusion secure DCOP algorithmProceedings of the 28th International Joint Conference on Artificial Intelligence10.5555/3367471.3367707(4774-4780)Online publication date: 10-Aug-2019
  • (2019)Graph Based Optimization for Multiagent CooperationProceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3306127.3331863(1497-1505)Online publication date: 8-May-2019
  • (2019)Distributed gibbsJournal of Artificial Intelligence Research10.1613/jair.1.1140064:1(705-748)Online publication date: 1-Jan-2019
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cover image ACM Conferences
AAMAS '04: Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
July 2004
494 pages
ISBN:1581138644

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IEEE Computer Society

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Published: 19 July 2004

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Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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View all
  • (2019)A privacy preserving collusion secure DCOP algorithmProceedings of the 28th International Joint Conference on Artificial Intelligence10.5555/3367471.3367707(4774-4780)Online publication date: 10-Aug-2019
  • (2019)Graph Based Optimization for Multiagent CooperationProceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3306127.3331863(1497-1505)Online publication date: 8-May-2019
  • (2019)Distributed gibbsJournal of Artificial Intelligence Research10.1613/jair.1.1140064:1(705-748)Online publication date: 1-Jan-2019
  • (2018)Gossip Gradient DescentProceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3237383.3238049(1995-1997)Online publication date: 9-Jul-2018
  • (2018)Detection of Unethical Intelligent Agents in Ethical Distributed Constraint Satisfaction ProblemsProceedings of the 2nd Mediterranean Conference on Pattern Recognition and Artificial Intelligence10.1145/3177148.3180083(52-57)Online publication date: 27-Mar-2018
  • (2017)A Partial Decision Scheme for Local Search Algorithms for Distributed Constraint Optimization ProblemsProceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems10.5555/3091125.3091157(187-194)Online publication date: 8-May-2017
  • (2017)An improved DPOP algorithm based on breadth first search pseudo-tree for distributed constraint optimizationApplied Intelligence10.1007/s10489-017-0905-447:3(607-623)Online publication date: 1-Oct-2017
  • (2016)ER-DCOPsProceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems10.5555/2936924.2937014(606-614)Online publication date: 9-May-2016
  • (2015)Probabilistic inference based message-passing for resource constrained DCOPsProceedings of the 24th International Conference on Artificial Intelligence10.5555/2832249.2832306(411-417)Online publication date: 25-Jul-2015
  • (2015)Near-Optimal Decentralized Power Supply Restoration in Smart GridsProceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems10.5555/2772879.2773315(1275-1283)Online publication date: 4-May-2015
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