Minimal and Redundant SAT Encodings for the All-Interval-Series Problem
Manyà Serres, Felip
MetadataShow full item record
The SAT encodings defined so far for the all-interval-series (ais) problem are very hard for local search but rather easy for systematic algorithms. We define different SAT encodings for the ais problem and provide experimental evidence that this problem can be efficiently solved with local search methods if one chooses a suitable SAT encoding.
Is part ofLecture Notes in Computer Science, 2002, vol. 2504, p. 139-144
European research projects
Showing items related by title, author, creator and subject.
Béjar Torres, Ramón; Manyà Serres, Felip; Cabiscol i Teixidó, Alba; Fernàndez Camon, César; Gomes, Carla (Elsevier, 2007)Regular-SAT is a constraint programming language between CSP and SAT that—by combining many of the good properties of each paradigm—offers a good compromise between performance and expressive power. Its similarity to SAT ...
Argelich Romà, Josep; Béjar Torres, Ramón; Cabiscol i Teixidó, Alba; Fernàndez Camon, César; Manyà Serres, Felip; Gomes, Carla (European Conference on Planning, 2013)We present a random generator of partially complete round robin timetables that produces exclusively satisfiable instances, and provide experimental evidence that there is an easy-hard-easy pattern in the computational ...
Béjar Torres, Ramón; Cabiscol i Teixidó, Alba; Fernàndez Camon, César; Manyà Serres, Felip; Gomes, Carla (Elsevier, 2001)We present Regular-SAT, an extension of Boolean Satisfiability based on a class of many-valued CNFform ulas. Regular-SAT shares many properties with Boolean SAT, which allows us to generalize some of the best known SAT ...