Title :
Local Search Based on Conflict Analysis for the Satisfiability Problem
Author :
Habet, Djamal ; Toumi, D.
Author_Institution :
Aix-Marseille Univ., Marseille, France
Abstract :
In this paper, we propose a local search method that integrates conflict analysis, usually used as part of complete search, to solve the satisfiability problem (SAT). This integration provides to the local search the following improvements: use of unit propagation, consideration of the dependencies between variables, clause learning and finally the ability to prove the unsatisfiability.
Keywords :
computability; learning (artificial intelligence); search problems; SAT; clause learning; complete search; conflict analysis; local search method; satisfiability problem; unit propagation; unsatisfiability; variable dependency; Algorithm design and analysis; Databases; Heuristic algorithms; Integrated circuits; Lips; Maintenance engineering; Search problems; (Un) Satisfiability; clause learning; local search;
Conference_Titel :
Tools with Artificial Intelligence (ICTAI), 2012 IEEE 24th International Conference on
Conference_Location :
Athens
Print_ISBN :
978-1-4799-0227-9
DOI :
10.1109/ICTAI.2012.124