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2019 | OriginalPaper | Chapter

Backing Backtracking

Authors : Sibylle Möhle, Armin Biere

Published in: Theory and Applications of Satisfiability Testing – SAT 2019

Publisher: Springer International Publishing

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Abstract

Non-chronological backtracking was considered an important and necessary feature of conflict-driven clause learning (CDCL). However, a SAT solver combining CDCL with chronological backtracking succeeded in the main track of the SAT Competition 2018. In that solver, multiple invariants considered crucial for CDCL were violated. In particular, decision levels of literals on the trail were not necessarily increasing anymore. The corresponding paper presented at SAT 2018 described the algorithm and provided empirical evidence of its correctness, but a formalization and proofs were missing. Our contribution is to fill this gap. We further generalize the approach, discuss implementation details, and empirically confirm its effectiveness in an independent implementation.

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previous chapter DRMaxSAT with MaxHS: First Contact

next chapter Assessing Heuristic Machine Learning Explanations with Model Counting

Please refer to the source code of CaDiCaL provided at http://fmv.jku.at/chrono.

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Title: Backing Backtracking
Authors: Sibylle Möhle
Armin Biere
Publisher: Springer International Publishing
Book: Theory and Applications of Satisfiability Testing – SAT 2019
Print ISBN: 978-3-030-24257-2

Electronic ISBN: 978-3-030-24258-9

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-24258-9_18

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