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Connections and Integration with SAT Solvers: A Survey and a Case Study in Computational Biology

In: Hybrid Optimization

Author

Listed:
  • Fabien Corblin

    (TIMC-IMAG)

  • Lucas Bordeaux
  • Eric Fanchon
  • Youssef Hamadi
  • Laurent Trilling

Abstract

Boolean constraints play a fundamental rôle in optimization and constraint satisfaction. The resolution of these constraints has been the subject of intense and successful work during the past decade, and SAT solvers have reached a spectacular maturity. This chapter gives a brief overview of the relevant literature on modern SAT solvers and on the recent efforts to better integrate Boolean reasoning with other constraint satisfaction techniques. As a case study that illustrates the use of SAT and CP, we consider an application in computational biology: the task to build gene regulatory networks (GRNs). We report on experiments made on this problem with a combined SAT/CP approach.

Suggested Citation

  • Fabien Corblin & Lucas Bordeaux & Eric Fanchon & Youssef Hamadi & Laurent Trilling, 2011. "Connections and Integration with SAT Solvers: A Survey and a Case Study in Computational Biology," Springer Optimization and Its Applications, in: Pascal van Hentenryck & Michela Milano (ed.), Hybrid Optimization, edition 1, pages 425-461, Springer.
    • Handle: RePEc:spr:spochp:978-1-4419-1644-0_13
    DOI: 10.1007/978-1-4419-1644-0_13
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