Research map / Learning theory and algorithms / Combinatorial and search optimization
Should Algorithms for Random SAT and Max-SAT Be Different?
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use ProMS instead of CCLS | random 3-CNF Max-SAT · v70c900 | opt. unsatisfied clauses: 39.2 -> 39.0 | Helped |
| Use ProMS instead of CCLS | random 3-CNF Max-SAT · v90c1000 | opt. unsatisfied clauses: 37.9 -> 37.8 | Helped |
| Use ProMS instead of CCLS | random 3-CNF Max-SAT · v80c800 | opt. unsatisfied clauses: 27.3 -> 27.3 | No clear effect |
| Use make value in variable selection | random high-ratio Max-SAT local search · random 3-CNF benchmarks | solution quality | Helped |
| Use a SAT-oriented break-only strategy (probSAT) instead of ProMS | random high-ratio Max-SAT · random 3-CNF benchmarks | solution quality | Hurt |
| Use break-value-only WalkSAT heuristics (MaxWalkSAT) instead of ProMS | random high-ratio Max-SAT · random 3-CNF benchmarks | solution quality | Hurt |
| Increase preference for high-make variables as the clause-to-variable ratio rises | ProMS variable selection · high-ratio random k-CNF | expected random-walk progress | Helped |
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