An efficient algorithm for a class of constraint satisfaction problems
Woeginger, Gerhard J. (2002) An efficient algorithm for a class of constraint satisfaction problems. Operations Research Letters, 30 (1). pp. 9-16. ISSN 0167-6377
Restricted to UT campus only : Request a copy
|Abstract:||We define the class of the so-called monotone constraint satisfaction problems (MON-CSP). MON-CSP forms a subclass of the class of min-closed (respectively, max-closed) constraint satisfaction problems of Jeavons and Cooper (Artificial Intelligence 79 (1995) 327). We prove that for all problems in the class MON-CSP there exists a very fast and very simple algorithm for testing feasibility.
We then show that a number of well-known results from the literature are special cases of MON-CSP: (1) Satisfiability of Horn formulae; (2) graph homomorphisms to directed graphs with an -numbering; (3) monotone integer programming with two variables per inequality; (4) project scheduling under AND/OR precedence constraints. Our results provide a unified algorithmic approach to all these problems.
|Copyright:||© 2002 Elsevier|
Electrical Engineering, Mathematics and Computer Science (EEMCS)
|Link to this item:||http://purl.utwente.nl/publications/74835|
|Export this item as:||BibTeX|
Daily downloads in the past month
Monthly downloads in the past 12 months
Repository Staff Only: item control page
Metis ID: 208615