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Research map / Learning theory and algorithms / Combinatorial and search optimization

Should Algorithms for Random SAT and Max-SAT Be Different?

AAAI 2017 · Learning theory and algorithms › Combinatorial and search optimization · approach: Heuristic and local search algorithms · 4 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use ProMS instead of CCLSrandom 3-CNF Max-SAT · v70c900opt. unsatisfied clauses: 39.2 -> 39.0Helped
Use ProMS instead of CCLSrandom 3-CNF Max-SAT · v90c1000opt. unsatisfied clauses: 37.9 -> 37.8Helped
Use ProMS instead of CCLSrandom 3-CNF Max-SAT · v80c800opt. unsatisfied clauses: 27.3 -> 27.3No clear effect
Use make value in variable selectionrandom high-ratio Max-SAT local search · random 3-CNF benchmarkssolution qualityHelped
Use a SAT-oriented break-only strategy (probSAT) instead of ProMSrandom high-ratio Max-SAT · random 3-CNF benchmarkssolution qualityHurt
Use break-value-only WalkSAT heuristics (MaxWalkSAT) instead of ProMSrandom high-ratio Max-SAT · random 3-CNF benchmarkssolution qualityHurt
Increase preference for high-make variables as the clause-to-variable ratio risesProMS variable selection · high-ratio random k-CNFexpected random-walk progressHelped

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