DocumentCode :
2302570
Title :
A new arc consistency algorithm for CSPs with hierarchical domains
Author :
Kökény, Tibor
Author_Institution :
Univ. des Sci. et Tech. du Languedoc, Montpellier, France
fYear :
1994
fDate :
6-9 Nov 1994
Firstpage :
439
Lastpage :
445
Abstract :
General arc-consistency filtering techniques for constraint satisfaction problems (CSP) can be improved by considering special CSP classes. A domain hierarchical CSP is a CSP in which an intrinsic hierarchical structure of its domains is known. A.K. Mackworth et al. (1985) proposed an are consistency algorithm for domain hierarchical CSPs (HAC) whose worst-case time complexity was 0(md3) where m is the number of constraints and d is the maximal size of a domain. HAC worked only with binary tree structured domains. In this paper we present HAC-6 a new arc-consistency algorithm for domain hierarchical CSPs which works with all types of domain hierarchies (any partial ordering) and its worst-case complexity is 0(md2). HAC-6 is based on AC-6 which is the best at present, worst-case optimal arc-consistency algorithm for classical CSPs
Keywords :
computational complexity; constraint handling; HAC-6; arc consistency algorithm; binary tree structured domains; constraint satisfaction problems; domain hierarchies; hierarchical domains; intrinsic hierarchical structure; worst-case time complexity; Algorithm design and analysis; Binary trees; Filtering algorithms; Gaussian processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 1994. Proceedings., Sixth International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-8186-6785-0
Type :
conf
DOI :
10.1109/TAI.1994.346459
Filename :
346459
Link To Document :
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