<?xml version="1.0" encoding="UTF-8"?>
<XML><RECORDS>
<RECORD>
	<REFERENCE_TYPE>3</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>Marc Pujol</AUTHOR>
		<AUTHOR>Jesús Cerquides</AUTHOR>
		<AUTHOR>Pedro Meseguer</AUTHOR>
		<AUTHOR>Juan A. Rodríguez-Aguilar</AUTHOR>
	</AUTHORS>
	<YEAR>2011</YEAR>
	<TITLE>Improving function filtering for computationally demanding DCOPs</TITLE>
	<SECONDARY_TITLE>Workshop on Distributed Constraint Reasoning at IJCAI 2011</SECONDARY_TITLE>
	<PLACE_PUBLISHED>Barcelona</PLACE_PUBLISHED>
	<PAGES>99-111</PAGES>
	<DATE>17/07/2011</DATE>
	<ABSTRACT>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.</ABSTRACT>
</RECORD>
</RECORDS></XML>