Advances in Local Search for Satisfiability

File Size Format
49556_1.pdf 247Kb Adobe PDF View
Title Advances in Local Search for Satisfiability
Author Pham, Duc Nghia; Thornton, John Richard; Gretton, Charles; Sattar, Abdul
Publication Title AI 2007: Advances in Artificial Intelligence
Editor Mehmet A. Orgun, John Thornton
Year Published 2007
Place of publication Heidelberg, Germany
Publisher Springer
Abstract In this paper we describe a stochastic local search (SLS) procedure for finding satisfying models of satisfiable propositional for- mulae. This new algorithm, gNovelty+, draws on the features of two other WalkSAT family algorithms: R+AdaptNovelty+ and G2WSAT, while also successfully employing a dynamic local search (DLS) clause weighting heuristic to further improve performance. gNovelty+ was a Gold Medal winner in the random category of the 2007 SAT competition. In this paper we present a detailed description of the algorithm and extend the SAT competition results via an empirical study of the effects of problem structure and parameter tuning on the perfor- mance of gNovelty+. The study also compares gNovelty+ with two of the most representative WalkSAT-based solvers: G2WSAT, AdaptNovelty+ , and two of the most representative DLS solvers: RSAPS and PAWS. Our new results augment the SAT competition results and show that gNovelty+ is also highly competitive in the domain of solving structured satisfiability problems in comparison with other SLS techniques.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.cit.gu.edu.au/conferences/austai/
Alternative URI http://www.springer.com/computer/artificial/book/978-3-540-76926-2
Copyright Statement Copyright 2007 Springer. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. The original publication is available at www.springerlink.com.
ISBN 978-3-540-76926-2
Conference name Australian Joint Conference on Artificial Intelligence
Location Gold Coast, Australia
Date From 2007-12-02
Date To 2007-12-06
URI http://hdl.handle.net/10072/18345
Date Accessioned 2008-03-01
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Other Artificial Intelligence
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

Show simple item record

Griffith University copyright notice