TítolImproving function filtering for computationally demanding DCOPs
Publication TypeConference Paper
Year of Publication2011
AuthorsPujol M, Cerquides J, Meseguer P, Rodríguez-Aguilar JA
Conference NameWorkshop on Distributed Constraint Reasoning at IJCAI 2011
Conference LocationBarcelona
Paginació99-111
Date Published17/07/2011
Resum

In this paper we focus on solving DCOPs in computationally demanding scenarios. GDL optimally solves DCOPs, but requires exponentially large cost functions, being impractical in such settings. Function filtering is a technique that reduces the size of cost functions. We improve the effectiveness of function filtering to reduce the amount of resources required to optimally solve DCOPs. As a result, we enlarge the range of problems solvable by algorithms employing function filtering.