|Title||Improving function filtering for computationally demanding DCOPs|
|Publication Type||Conference Paper|
|Year of Publication||2011|
|Authors||Pujol M, Cerquides J, Meseguer P, Rodríguez-Aguilar JA|
|Conference Name||Workshop on Distributed Constraint Reasoning at IJCAI 2011|
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.
- About IIIA
- Current news