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AIJ 2005

Compiling problem specifications into SAT

Journal Article journal-article Artificial Intelligence

Abstract

We present a compiler that translates a problem specification into a propositional satisfiability test (SAT). Problems are specified in a logic-based language, called np-spec, which allows the definition of complex problems in a highly declarative way, and whose expressive power is such as to capture all problems which belong to the complexity class NP. The target SAT instance is solved using any of the various state-of-the-art solvers available from the community. The system obtained is an executable specification language for all NP problems which shows interesting computational properties. The performance of the system has been tested on a few classical problems, namely graph coloring, Hamiltonian cycle, job-shop scheduling, and on a real-world scheduling application, namely the tournament scheduling problem.

Authors

Keywords

  • Automatic generation of problem reformulation
  • Executable specifications
  • SAT problem
  • NP-complete problems

Context

Venue
Artificial Intelligence
Archive span
1970-2026
Indexed papers
3976
Paper id
106422204227826789
v2026.09.13