Research map / Learning theory and algorithms / Combinatorial and search optimization
SAT-to-SAT: Declarative Extension of SAT Solvers with New Propagators
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Solve with SAT-to-SAT (Ex. 2 encoding) instead of direct Glucose encoding | Hamiltonian path · 100 nodes | avg solving time: 390s -> 0.13s | Helped |
| Solve with SAT-to-SAT (Ex. 2 encoding) instead of direct Glucose encoding | Hamiltonian path · 150 nodes | instances solved: 0 -> 20 | Helped |
| Solve with SAT-to-SAT (Ex. 2 encoding) instead of direct Glucose encoding | Hamiltonian path · 300 nodes | instances solved: 0 -> 9 | Helped |
| Solve with SAT-to-SAT (Ex. 2 encoding) instead of direct Glucose encoding | Hamiltonian path · 50 nodes | avg solving time: 4.85s -> 0.02s | Helped |
| Use Ex. 3 encoding instead of Ex. 2 encoding of propagator in SAT-to-SAT | Hamiltonian path · 300 nodes | instances solved: 9 -> 5 | Hurt |
| Use Ex. 3 encoding instead of Ex. 2 encoding of propagator in SAT-to-SAT | Hamiltonian path · 200 nodes | avg solving time: 9.00s -> 74.0s | Hurt |
| Use Ex. 3 encoding instead of Ex. 2 encoding of propagator in SAT-to-SAT | Hamiltonian path · 250 nodes | instances solved: 20 -> 18 | Hurt |
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