Benchmarking hybrid algorithms for distributed constraint optimisation games

In this paper, we consider algorithms for distributed constraint optimisation problems (DCOPs). Using a potential game characterisation of DCOPs, we decompose six distributed DCOP algorithms, taken from the game theory and computer science literatures, into their salient components. We then use these components to construct five novel hybrid algorithms. Finally, we empirical evaluate all eleven algorithms, in terms of solution quality, timeliness and communication resourses 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 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.

• Type: Journal
• Year: 2011
• Where: AAMAS
• Authors: Archie C. Chapman, Alex Rogers, Nicholas R. Jennings
• Keywords: AAMAS 2011, Algorithm, Constraint Optimisation Problems, Dcop Algorithm, Intelligent Agents