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Optimization Modulo Theories with Linear Rational Costs

Published: 17 February 2015 Publication History

Abstract

In the contexts of automated reasoning (AR) and formal verification (FV), important decision problems are effectively encoded into Satisfiability Modulo Theories (SMT). In the last decade, efficient SMT solvers have been developed for several theories of practical interest (e.g., linear arithmetic, arrays, and bit vectors). Surprisingly, little work has been done to extend SMT to deal with optimization problems; in particular, we are not aware of any previous work on SMT solvers able to produce solutions that minimize cost functions over arithmetical variables. This is unfortunate, since some problems of interest require this functionality.
In the work described in this article we start filling this gap. We present and discuss two general procedures for leveraging SMT to handle the minimization of linear rational cost functions, combining SMT with standard minimization techniques. We have implemented the procedures within the MathSAT SMT solver. Due to the absence of competitors in the AR, FV, and SMT domains, we have experimentally evaluated our implementation against state-of-the-art tools for the domain of Linear Generalized Disjunctive Programming (LGDP), which is closest in spirit to our domain, on sets of problems that have been previously proposed as benchmarks for the latter tools. The results show that our tool is very competitive with, and often outperforms, these tools on these problems, clearly demonstrating the potential of the approach.

References

[1]
Tobias Achterberg, Timo Berthold, Thorsten Koch, and Kati Wolter. 2008. Constraint integer programming: A new approach to integrate CP and MIP. In Proc. CPAIOR’08. Lecture Notes in Computer Science, Vol. 5015. Springer, 6--20.
[2]
Carlos Ansótegui, Miquel Bofill, Miquel Palahí, Josep Suy, and Mateu Villaret. 2011. Satisfiability modulo theories: An efficient approach for the resource-constrained project scheduling problem. In SARA.
[3]
Gilles Audemard, Marco Bozzano, Alessandro Cimatti, and Roberto Sebastiani. 2005. Verifying industrial hybrid systems with MathSAT. In Proc. BMC 2004 (ENTCS), Vol. 119. Elsevier.
[4]
Gilles Audemard, Alessandro Cimatti, Arthur Kornilowicz, and Roberto Sebastiani. 2002. SAT-based bounded model checking for timed systems. In Proc. FORTE’02. Lecture Notes in Computer Science, Vol. 2529. Springer.
[5]
Egon Balas. 1983. Disjunctive Programming and a Hierarchy of Relaxations for Discrete Optimization Problems. Technical Report DRC-7O-21-R3. Carnegie Mellon University. Retrieved from http://repository.cmu.edu/cgi/viewcontent.cgi?article=1949&cont ext=tepper.
[6]
Egon Balas. 1998. Disjunctive programming: Properties of the convex hull of feasible points. Discr. Appl. Math. 89, 1--3 (1998), 3--44.
[7]
Egon Balas and Pierre Bonami. 2007. New variants of lift-and-project cut generation from the LP tableau: Open source implementation and testing. In IPCO. 89--103.
[8]
Clark Barrett, Roberto Sebastiani, Sanjit A. Seshia, and Cesare Tinelli. 2009. Satisfiabiity modulo theories. In Handbook of Satisfiability, Armin Biere, Marijn J. H. Heule, Hans van Maaren, and Toby Walsh (Eds.). IOS Press, 825--885.
[9]
C. W. Barrett, D. L. Dill, and A. Stump. 2002. A generalization of Shostak’s method for combining decision procedures. In Frontiers of Combining Systems (FROCOS). Lecture Notes in Artificial Intelligence. Springer-Verlag. Santa Margherita Ligure, Italy.
[10]
A. Biere, A. Cimatti, E. M. Clarke, and Yunshan Zhu. 1999. Symbolic model checking without BDDs. In Proc. TACAS’99. 193--207.
[11]
Armin Biere, Marijn J. H. Heule, Hans van Maaren, and Toby Walsh (Eds.). 2009. Handbook of Satisfiability. IOS Press. 980 pages.
[12]
Marco Bozzano, Roberto Bruttomesso, Alessandro Cimatti, Tommi A. Junttila, Silvio Ranise, Peter van Rossum, and Roberto Sebastiani. 2006. Efficient theory combination via boolean search. Inf. Comput. 204, 10 (2006), 1493--1525.
[13]
A. Brooke, D. Kendrick, A. Meeraus, and R. Raman. 2011. GAMS—A User’s Guide. GAMS Development Corporation, Washington, DC.
[14]
Roberto Cavada, Alessandro Cimatti, Anders Franzén, Krishnamani Kalyanasundaram, Marco Roveri, and R. K. Shyamasundar. 2007. Computing predicate abstractions by integrating BDDs and SMT solvers. In FMCAD. IEEE Comput. Soc., 69--76.
[15]
Alessandro Cimatti, Anders Franzén, Alberto Griggio, Roberto Sebastiani, and Cristian Stenico. 2010. Satisfiability modulo the theory of costs: Foundations and applications. In TACAS. Lecture Notes in Computer Science, Vol. 6015. Springer, 99--113.
[16]
Alessandro Cimatti, Alberto Griggio, Bastiaan Joost Schaafsma, and Roberto Sebastiani. 2013a. A modular approach to MaxSAT modulo theories. In International Conference on Theory and Applications of Satisfiability Testing, SAT. Lecture Notes in Computer Science, Vol. 7962.
[17]
Alessandro Cimatti, Alberto Griggio, Bastiaan Joost Schaafsma, and Roberto Sebastiani. 2013b. The MathSAT 5 SMT solver. In Tools and Algorithms for the Construction and Analysis of Systems (TACAS’13). Lecture Notes in Computer Science, Vol. 7795. Springer, 95--109.
[18]
Alessandro Cimatti, Alberto Griggio, and Roberto Sebastiani. 2010. Efficient generation of Craig interpolants in satisfiability modulo theories. ACM Trans. Comput. Logics 12, 1 (Oct. 2010).
[19]
Alessandro Cimatti, Alberto Griggio, and Roberto Sebastiani. 2011. Computing small unsatisfiable cores in SAT modulo theories. J. Artif. Intell. Res. 40 (April 2011), 701--728.
[20]
Leonardo Mendonça de Moura and Nikolaj Bjørner. 2008. Z3: An efficient SMT solver. In TACAS. Lecture Notes in Computer Science, Vol. 4963. Springer, 337--340.
[21]
Isil Dillig, Thomas Dillig, Kenneth L. McMillan, and Alex Aiken. 2012. Minimum satisfying assignments for SMT. In CAV. 394--409.
[22]
Bruno Dutertre and Leonardo de Moura. 2006. A fast linear-arithmetic solver for DPLL(T). In CAV. Lecture Notes in Computer Science, Vol. 4144.
[23]
Bruno Dutertre and Leonardo De Moura. 2006. The Yices SMT Solver. Technical Report. SRI International. Retrieved from http://yices.csl.sri.com/tool-paper.pdf.
[24]
N. Eén and N. Sörensson. 2004. An extensible SAT-solver. In Theory and Applications of Satisfiability Testing (SAT’03). Lecture Notes in Computer Science, Vol. 2919. Springer, 502--518.
[25]
Alberto Griggio. 2012. A practical approach to satisfiability modulo linear integer arithmetic. J. Satis., Boolean Model. Comput. 8 (2012), 1--27.
[26]
IBM. 2010. IBM ILOG CPLEX Optimizer. Retrieved from http://www-01.ibm.com/software/integration/optimization/cplex-optimizer/.
[27]
Natalia Kalinnik, Erika Ábrahám, Tobias Schubert, Ralf Wimmer, and Bernd Becker. 2010. Exploiting different strategies for the parallelization of an SMT solver. In Proc. MBMV. 97--106.
[28]
Chu Min Li and Felip Manyà. 2009. MaxSAT, hard and soft constraints. In Handbook of Satisfiability, Armin Biere, Marijn J. H. Heule, Hans van Maaren, and Toby Walsh (Eds.). IOS Press, 613--631.
[29]
Andrea Lodi. 2009. Mixed integer programming computation. In 50 Years of Integer Programming 1958-2008. Springer-Verlag, 619--645.
[30]
I. Lynce and J. P. Marques-Silva. 2004. On computing minimum unsatisfiable cores. In Proc. 7th International Conference on Theory and Applications of Satisfiability Testing.
[31]
Panagiotis Manolios and Vasilis Papavasileiou. 2013. ILP modulo theories. In CAV. 662--677.
[32]
Joao P. Marques-Silva, Ines Lynce, and Sharad Malik. 2009. Conflict-Driven Clause Learning SAT Solvers, Chapter 4, 131--153. In Biere et al. {2009}.
[33]
J. P. Marques-Silva and K. A. Sakallah. 1996. GRASP—A new search algorithm for satisfiability. In Proc. ICCAD’96. 220--227.
[34]
Matthew W. Moskewicz, Conor F. Madigan, Ying Zhao, Lintao Zhang, and Sharad Malik. 2001. Chaff: Engineering an efficient SAT solver. In DAC. 530--535.
[35]
C. G. Nelson and D. C. Oppen. 1979. Simplification by cooperating decision procedures. TOPLAS 1, 2 (1979), 245--257.
[36]
Robert Nieuwenhuis and Albert Oliveras. 2006. On SAT modulo theories and optimization problems. In Proc. Theory and Applications of Satisfiability Testing (SAT’06). Lecture Notes in Computer Science, Vol. 4121. Springer.
[37]
R. Nieuwenhuis, A. Oliveras, and C. Tinelli. 2006. Solving SAT and SAT modulo theories: From an abstract Davis-Putnam-Logemann-Loveland procedure to DPLL(T). J. ACM 53, 6 (Nov. 2006), 937--977.
[38]
D. A. Plaisted and S. Greenbaum. 1986. A structure-preserving clause form translation. J. Symbol. Comput. 2 (1986), 293--304.
[39]
R. Raman and I. E. Grossmann. 1994. Modelling and computational techniques for logic based integer programming. Comput. Chem. Eng. 18, 7 (1994), 563--578.
[40]
Olivier Roussel and Vaso Manquinho. 2009. Pseudo-Boolean and Cardinality Constraints. In Handbook of Satisfiability, Armin Biere, Marijn J. H. Heule, Hans van Maaren, and Toby Walsh (Eds.). IOS Press, 695--733.
[41]
Nicolas W. Sawaya and Ignacio E. Grossmann. 2005. A cutting plane method for solving linear generalized disjunctive programming problems. Comput. Chem. Eng. 29, 9 (2005), 1891--1913.
[42]
Nicolas W. Sawaya and Ignacio E. Grossmann. 2012. A hierarchy of relaxations for linear generalized disjunctive programming. Eur. J. Oper. Res. 216, 1 (2012), 70--82.
[43]
Roberto Sebastiani. 2007. Lazy satisfiability modulo theories. J. Sat., Boolean Model. Comput. 3, 3--4 (2007), 141--224.
[44]
Roberto Sebastiani and Silvia Tomasi. 2012. Optimization in SMT with LA(Q) cost functions. In IJCAR. Lecture Notes in Artificial Intelligence, Vol. 7364. Springer, 484--498. Retrieved from http://disi.unitn.it/∼rseba/publist.html.
[45]
Meinolf Sellmann and Serdar Kadioglu. 2008. Dichotomic search protocols for constrained optimization. In CP. Lecture Notes in Computer Science, Vol. 5202. Springer.
[46]
Mary Sheeran, Satnam Singh, and Gunnar Stålmarck. 2000. Checking safety properties using induction and a SAT-solver. In FMCAD. Lecture Notes in Computer Science. Springer, 108--125.
[47]
C. Tinelli and M. T. Harandi. 1996. A new correctness proof of the Nelson--Oppen combination procedure. In Proc. Frontiers of Combining Systems (FroCoS’06) (Applied Logic). Kluwer.
[48]
A. Vecchietti. 2011. (2011). Personal communication.
[49]
A. Vecchietti and I. E. Grossmann. 2004. Computational experience with LogMIP solving linear and nonlinear disjunctive programming problems. In Proc. of FOCAPD. 587--590.
[50]
Christoph M. Wintersteiger, Youssef Hamadi, and Leonardo Mendonça de Moura. 2009. A concurrent portfolio approach to SMT solving. In Proc. Computer Aided Verification, CAV. 715--720.
[51]
S. Wolfman and D. Weld. 1999. The LPSAT engine & its application to resource planning. In Proc. IJCAI.

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cover image ACM Transactions on Computational Logic
ACM Transactions on Computational Logic  Volume 16, Issue 2
March 2015
260 pages
ISSN:1529-3785
EISSN:1557-945X
DOI:10.1145/2737801
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 17 February 2015
Accepted: 01 December 2014
Revised: 01 September 2014
Received: 01 January 2014
Published in TOCL Volume 16, Issue 2

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Author Tags

  1. Satisfiability modulo theories
  2. automated reasoning
  3. optimization

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  • Refereed

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  • Semiconductor Research Corporation (SRC) under GRC Research Project 2012-TJ-2266 WOLF

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