Publications

BnB-ADOPT+ with Several Soft AC Levels

Publication Type:

Conference Paper

Authors:

Patricia Gutierrez; Pedro Meseguer

Source:

European Conference on Artificial Intelligence (ECAI-10), Lisbon, Portugal, p.67-72 (2010)

Keywords:

Distributed constraint optimization; soft constraints; arc consistency

Abstract:

Distributed constraint optimization problems can be solved by BnB-ADOPT$^+$, a distributed asynchronous search algorithm. In the centralized case, local consistency techniques applied to constraint optimization have been shown very beneficial to increase performance. In this paper, we combine BnB-ADOPT$^+$ with different levels of soft arc consistency, propagating unconditional deletions caused by either the enforced local consistency or by distributed search. The new algorithm maintains BnB-ADOPT$^+$ optimality and termination. In practice, this approach decreases substantially BnB-ADOPT$^+$ requirements in communication cost and computation effort when solving commonly used benchmarks.

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