MAC and Combined Heuristics: Two Reasons to Forsake FC (and CBJ?) on Hard Problems

MAC and Combined Heuristics: Two Reasons to Forsake FC (and CBJ?) on Hard Problems (1996)

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by Christian Bessière , Jean-Charles Régin

Venue:	In Proceedings of the Second International Conference on Principles and Practice of Constraint Programming
Citations:	32 - 4 self

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Datum	Value	Source
TITLE	MAC and combined heuristics: Two reasons to forsake FC (and CBJ?) on hard problems	INFERENCE
AUTHOR NAME	Christian Bessiere	SVM HeaderParse 0.1
AUTHOR AFFIL	1	SVM HeaderParse 0.2
AUTHOR NAME	Jean-charles Regin	SVM HeaderParse 0.1
AUTHOR AFFIL	; 2; 1; 2	SVM HeaderParse 0.2
AUTHOR ADDR	; LIRMM (UMR 5506 CNRS), 161 rue Ada, 34392 Montpellier cedex 5, France; ILOG S.A., 9 rue de Verdun BP 85, 94253 Gentilly Cedex, France	SVM HeaderParse 0.1
ABSTRACT	Abstract. In the last twenty years, many algorithms and heuristics were developed to find solutions in constraint networks. Their number increased to such an extent that it quickly became necessary to compare their performances in order to propose a small number of "good " methods. These comparisons often led us to consider FC or FC-CBJ associated with a "minimum domain " variable ordering heuristic as the best techniques to solve a wide variety of constraint networks. In this paper, we first try to convince once and for all the CSP community that MAC is not only more efficient than FC to solve large practical problems, but it is also really more efficient than FC on hard and large random problems. Afterwards, we introduce an original and efficient way to combine variable ordering heuristics. Finally, we conjecture that when a good variable ordering heuristic is used, CBJ becomes an expensive gadget which almost always slows down the search, even if it saves a few constraint checks. 1	SVM HeaderParse 0.1
YEAR	1996	INFERENCE
VENUE	Principles and Practice of Constraint Programming - CP96, LNCS 1118	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	61--75	INFERENCE
CITATIONS	33 found	ParsCit 1.0