Evaluating CDCL Variable Scoring Schemes

The VSIDS (variable state independent decaying sum) decision heuristic invented in the context of the CDCL (conflict-driven clause learning) SAT solver Chaff, is considered crucial for achieving high efficiency of modern SAT solvers on application benchmarks. This paper proposes ACIDS (average confl...

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Published inTheory and Applications of Satisfiability Testing -- SAT 2015 Vol. 9340; pp. 405 - 422
Main Authors Biere, Armin, Fröhlich, Andreas
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2015
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
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ISBN3319243179
9783319243177
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-24318-4_29

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Summary:The VSIDS (variable state independent decaying sum) decision heuristic invented in the context of the CDCL (conflict-driven clause learning) SAT solver Chaff, is considered crucial for achieving high efficiency of modern SAT solvers on application benchmarks. This paper proposes ACIDS (average conflict-index decision score), a variant of VSIDS. The ACIDS heuristics is compared to the original implementation of VSIDS, its popular modern implementation EVSIDS (exponential VSIDS), the VMTF (variable move-to-front) scheme, and other related decision heuristics. They all share the important principle to select those variables as decisions, which recently participated in conflicts. The main goal of the paper is to provide an empirical evaluation to serve as a starting point for trying to understand the reason for the efficiency of these decision heuristics. In our experiments, it turns out that EVSIDS, VMTF, ACIDS behave very similarly, if implemented carefully.
Bibliography:Supported by Austrian Science Fund (FWF), national research network RiSE (S11408-N23). Builds on discussions from the 2014 workshop on Theoretical Foundations of Applied SAT Solving (14w5101), hosted by Banff International Research Station, and Dagstuhl Seminar 15171 (2015), Theory and Practice of SAT Solving.
ISBN:3319243179
9783319243177
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-24318-4_29