Distributed Constraint Optimization with Structured Resource Constraints
Conference Proceeding Article
Distributed constraint optimization (DCOP) provides a framework for coordinated decision making by a team of agents. Often, during the decision making, capacity constraints on agents' resource consumption must be taken into account. To address such scenarios, an extension of DCOP- Resource Constrained DCOP- has been proposed. However, certain type of resources have an additional structure associated with them and exploiting it can result in more efficient algorithms than possible with a general framework. An example of these are distribution networks, where the flow of a commodity from sources to sinks is limited by the flow capacity of edges. We present a new model of structured resource constraints that exploits the acyclicity and the flow conservation property of distribution networks. We show how this model can be used in efficient algorithms for finding the optimal flow configuration in distribution networks, an essential problem in managing power distribution networks. Experiments demonstrate the efficiency and scalability of our approach on publicly available benchmarks and compare favorably against a specialized solver for this task. Our results extend significantly the effectiveness of distributed constraint optimization for practical multi-agent settings.
Artificial Intelligence and Robotics | Computer Sciences | Operations Research, Systems Engineering and Industrial Engineering
Intelligent Systems and Decision Analytics
Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems AAMAS 2009, Budapest, Hungary, 10-15 May 2009
City or Country
KUMAR, Akshat; Faltings, Boi; and Petcu, Adrian.
Distributed Constraint Optimization with Structured Resource Constraints. (2009). Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems AAMAS 2009, Budapest, Hungary, 10-15 May 2009. 2, 923-930. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/2213