DocumentCode
468418
Title
A Value Ordering Heuristic for Weighted CSP
Author
Levasseur, Nicolas ; Boizumault, Patrice ; Loudni, Samir
Author_Institution
Univ. de Caen, Caen
Volume
1
fYear
2007
fDate
29-31 Oct. 2007
Firstpage
259
Lastpage
262
Abstract
In this paper, we propose a new value ordering heuristic for weighted constraint satisfaction problems (WCSP) based on the quality of solutions. The H-quality of an assignment estimates its capacity at occurring in solutions of "good" quality. Experiments using limited discrepancy search on random WCSP instances and CELAR benchmarks show that our value ordering always outperforms MinAC in a significant way.
Keywords
constraint theory; estimation theory; optimisation; search problems; CELAR benchmarks; assignment estimation; limited discrepancy search; value ordering heuristic; weighted constraint satisfaction problems; Artificial intelligence; Constraint optimization; Cost accounting; Counting circuits; Filtering algorithms; Search methods; Tellurium;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE International Conference on
Conference_Location
Patras
ISSN
1082-3409
Print_ISBN
978-0-7695-3015-4
Type
conf
DOI
10.1109/ICTAI.2007.45
Filename
4410292
Link To Document