Benchmarking hybrid algorithms for distributed constraint optimisation games
Chapman, Archie, Rogers, Alex and Jennings, Nick (2011) Benchmarking hybrid algorithms for distributed constraint optimisation games. Journal of Autonomous Agents and Multi-Agent Systems, 22, (3), 385-414.
- Published Version
In this paper, we consider algorithms for distributed constraint optimisation problems (DCOPs). Using a potential game characterisation of DCOPs, we decompose eight DCOP algorithms, taken from the game theory and computer science literatures, into their salient components. We then use these components to construct three novel hybrid algorithms. Finally, we empirical evaluate all eleven algorithms, in terms of solution quality, timeliness and communication resources used, in a series of graph colouring experiments. Our experimental results show the existence of several performance trade-offs (such as quick convergence to a solution, but with a cost of high communication needs), which may be exploited by a system designer to tailor a DCOP algorithm to suit their mix of requirements.
|Divisions:||Faculty of Physical and Applied Science > Electronics and Computer Science > Agents, Interactions & Complexity
|Date Deposited:||05 May 2010 07:01|
|Last Modified:||19 Jul 2012 12:20|
|Contributors:||Chapman, Archie (Author)
Rogers, Alex (Author)
Jennings, Nick (Author)
|Further Information:||Google Scholar|
|ISI Citation Count:||0|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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