An empirical study of constraint logic programming and answer set programming solutions of combinatorial problems

Authors: Dovier, Agostino¹; Formisano, Andrea²; Pontelli, Enrico³

Source: Journal of Experimental & Theoretical Artificial Intelligence, Volume 21, Number 2, June 2009 , pp. 79-121(43)

Publisher: Taylor and Francis Ltd

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Abstract:

This paper presents experimental comparisons between the declarative encodings of various computationally hard problems in Answer Set Programming (ASP) and Constraint Logic Programming over Finite Domains (CLP(FD)). The objective is to investigate how solvers in the two domains respond to different problems, highlighting the strengths and weaknesses of their implementations, and suggesting criteria for choosing one approach over the other. Ultimately, the work in this paper is expected to lay the foundations for a transfer of technology between the two domains, for example by suggesting ways to use CLP(FD) in the execution of ASP.

Keywords: logic programming; combinatorial problems; constraint solving

Document Type: Research article

DOI: http://dx.doi.org/10.1080/09528130701538174

Affiliations: 1: Dipartimento di Matematica e Informatica, Universita di Udine, 33100 Udine, Italy 2: Dipartimento di Matematica e Informatica, Universita di Perugia, 06123 Perugia, Italy 3: Department of Computer Science, New Mexico State University, Las Cruces, NM 88003-8001, USA

Publication date: 2009-06-01

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