ABSTRACT. Several multiagent tasks can be formulated and solved as. DCOPs. BnB-ADOPT+-AC is one of the most efficient al- gorithms for optimal DCOP solving.
Jun 4, 2012 · It is based on BnB-ADOPT, removing redundant messages and maintaining soft arc consistency during search. In this paper, we present several ...
It is based on BnB-ADOPT, removing redundant messages and maintaining soft arc consistency during search. In this paper, we present several improvements for ...
Several multiagent tasks can be formulated and solved as. DCOPs. BnB-ADOPT+-AC is one of the most efficient al- gorithms for optimal DCOP solving.
This paper combines BnB-ADOPT+ with different levels of soft arc consistency, propagating unconditional deletions caused by either the enforced local ...
In this paper, we combine BnB-ADOPT+ with different levels of soft arc consistency, propagating unconditional deletions caused by either the enforced local ...
The AFB_BJ+-AC* algorithm is enhanced to surpass its inefficiency in some problems, especially those where the number of deletions is too limited or remains ...
Abstract. Combining BnB-ADOPT+, with AC and FDAC levels of soft arc consistency (SAC) improves efficiency for optimal DCOP solving.
ADOPT and BnB-ADOPT are two optimal DCOP search algorithms that are similar except for their search strate- gies: the former uses best-first search and the ...
Missing: AC. | Show results with:AC.
