Abstract
A constraint satisfaction problem requires a value, selected from a given finite domain, to be assigned to each variable in the problem, so that all constraints relating the variables are satisfied. The main feature of any constraint solver is constraint propagation, it embeds any reasoning which consists in explicitly forbidding values or combinations of values for some variables of a problem because a given subset of its constraints cannot be satisfied otherwise. It is very important to apply constraint propagation as efficiently as possible. In this paper, we present a hybrid solver based on a Branch and Bound algorithm combined with constraint propagation to reduce the search space. Some rules trigger constraint propagation based on some observations of the solving process. The results show that is possible to make reasonable use of constraint propagation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Apt, K.R.: Principles of Constraint Programming. Cambridge Univ. Press (2003)
Beasley, J.E.: Or-library: distributing test problems by electronic mail. JORS 41(11), 1069–1072 (1990)
Berkelaar, M.: lpsolve—simplex-based code for linear and integer programming
Castro, C., Monfroy, E., Figueroa, C., Meneses, R.: An approach for dynamic split strategies in constraint solving. In: Gelbukh, A., de Albornoz, Á., Terashima-Marín, H. (eds.) MICAI 2005. LNCS (LNAI), vol. 3789, pp. 162–174. Springer, Heidelberg (2005)
Crawford, B., Castro, C., Monfroy, E., Soto, R., Palma, W., Paredes, F.: A hyperheuristic approach for guiding enumeration in constraint solving. In: Schütze, O., Coello, C.A.C., Tantar, A.-A., Tantar, E., Bouvry, P., Del Moral, P., Legrand, P. (eds.) EVOLVE - A Bridge between Probability, AISC, vol. 175, pp. 171–188. Springer, Heidelberg (2012)
Crawford, B., Soto, R., Castro, C., Monfroy, E.: Extensible CP-based autonomous search. In: Stephanidis, C. (ed.) Posters, Part I, HCII 2011. CCIS, vol. 173, pp. 561–565. Springer, Heidelberg (2011)
Crawford, B., Soto, R., Monfroy, E., Palma, W., Castro, C., Paredes, F.: Parameter tuning of a choice-function based hyperheuristic using particle swarm optimization. Expert Systems with Applications 40(5), 1690–1695 (2013)
Crawford, B., et al.: A framework for autonomous search in the eclipse solver. In: Mehrotra, K.G., et al. (eds.) IEA/AIE 2011, Part I. LNCS, vol. 6703, pp. 79–84. Springer, Heidelberg (2011)
Gent, I., Walsh, T.: Csplib: a benchmark library for constraints. Technical report, APES-09-1999 (1999), http://csplib.cs.strath.ac.uk/
Hamadi, Y., Monfroy, E., Saubion, F. (eds.): Autonomous Search. Springer (2012)
Monfroy, E., Castro, C., Crawford, B., Figueroa, C.: Adaptive hybridization strategies. In: ACM Symposium on Applied Computing, pp. 922–923 (2011)
Monfroy, E., Castro, C., Crawford, B., Soto, R., Paredes, F., Figueroa, C.: A reactive and hybrid constraint solver. Journal of Experimental and Theoretical Artificial Intelligence 25(1), 1–22 (2013)
Monfroy, E., Crawford, B., Soto, R.: Interleaving constraint propagation: An efficient cooperative search with branch and bound. In: Blesa, M.J., Blum, C., Festa, P., Roli, A., Sampels, M. (eds.) HM 2013. LNCS, vol. 7919, pp. 52–61. Springer, Heidelberg (2013)
Rice, J.: The algorithm selection problem. Technical Report CSD-TR 152, Purdue Univ. (1975)
Rodosek, R., Wallace, M., Hajian, M.: A new approach to integrating mixed integer programming and clp. Baltzer Journal (1998)
Schulte, C., Tack, G., Lagerkvist, M.: Gecode: Generic constraint development environment. In: INFORMS Annual Meeting (2006)
Soto, R., Crawford, B., Monfroy, E., Bustos, V.: Using autonomous search for generating good enumeration strategy blends in constraint programming. In: Murgante, B., Gervasi, O., Misra, S., Nedjah, N., Rocha, A.M.A.C., Taniar, D., Apduhan, B.O. (eds.) ICCSA 2012, Part III. LNCS, vol. 7335, pp. 607–617. Springer, Heidelberg (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Monfroy, E., Crawford, B., Soto, R. (2013). Automatic Triggering of Constraint Propagation. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2013. ICCSA 2013. Lecture Notes in Computer Science, vol 7975. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39640-3_33
Download citation
DOI: https://doi.org/10.1007/978-3-642-39640-3_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39639-7
Online ISBN: 978-3-642-39640-3
eBook Packages: Computer ScienceComputer Science (R0)