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An Empirical Study of Constraint Logic Programming and Answer Set Programming Solutions of Combinatorial Problems

DOVIER, Agostino
•
FORMISANO A.
•
PONTELLI E.
2009
  • journal article

Periodico
JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE
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.
DOI
10.1080/09528130701538174
WOS
WOS:000266246400001
Archivio
http://hdl.handle.net/11390/878934
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-67651222010
Diritti
closed access
Soggetti
  • Combinatorial problem...

  • Constraint solving

  • Logic programming

Web of Science© citazioni
21
Data di acquisizione
Mar 26, 2024
Visualizzazioni
2
Data di acquisizione
Apr 19, 2024
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