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Constraint Optimization Production Planning Problem. A Note on Theory, Selected Approaches and Computational Experiments

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9120))

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Abstract

This paper presents an interesting discrete optimization problem which was stated as a challenge at the 2014 Bologna Summer School of Constraint Programming. The problem is given in two versions: a tractable one of a small size, for training, and a large one for the competition. A formalization of the problem is proposed, and its theoretical properties are analyzed. Several approaches for solving the problem are presented in detail. Namely, formalizations in Answer Set Programming, Prolog, and Julia are presented, and the obtained results are discussed and compared. The experiments show that different tools allow to handle different aspects of constraint programming.

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References

  1. Andres, B., Kaufmann, B., Matheis, O., Schaub, T.: Unsatisfiability-based optimization in clasp. In: Tech. Com. of the ICLP. LIPIcs, vol. 17, pp. 211–221 (2012)

    Google Scholar 

  2. Dechter, R.: Constraint Processing. Morgan Kaufmann Publishers, San Francisco (2003)

    Google Scholar 

  3. Dodaro, C.: Engineering an efficient native ASP solver. TPLP 13(4-5-Online-Supplement) (2013)

    Google Scholar 

  4. Van Hentenryck, P., Michel, L.: Constraint-Based Local Search. MIT Press, Cambridge (2005)

    Google Scholar 

  5. Kirkpatrick, S., Gelatt, C.D., Vecchi, M.P.: Optimization by simulated annealing. Science 220(4598), 671–680 (1983)

    Article  MathSciNet  Google Scholar 

  6. Leone, N., Pfeifer, G., Faber, W., Eiter, T., Gottlob, G., Perri, S., Scarcello, F.: The dlv system for knowledge representation and reasoning. ACM Trans. Comput. Logic 7(3), 499–562 (2006)

    Article  MathSciNet  Google Scholar 

  7. Ligęza, A.: Models and tools for improving efficiency in constraint logic programming. Decision Making in Manufacturing and Services 5(1-2), 69–78 (2011)

    MathSciNet  Google Scholar 

  8. Morgado, A., Dodaro, C., Marques-Silva, J.: Core-guided MaxSAT with soft cardinality constraints. In: O’Sullivan, B. (ed.) CP 2014. LNCS, vol. 8656, pp. 564–573. Springer, Heidelberg (2014)

    Google Scholar 

  9. Rossi, F., van Beek, P., Walsh, T. (eds.): Handbook of Constraint Programming. Elsevier (2006)

    Google Scholar 

  10. Van Hentenryck, P., Michel, L.: Constraint-Based Local Search. The MIT Press, Cambridge (2005)

    Google Scholar 

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Correspondence to Weronika T. Adrian .

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Adrian, W.T., Leone, N., Ligęza, A., Manna, M., Ślażyński, M. (2015). Constraint Optimization Production Planning Problem. A Note on Theory, Selected Approaches and Computational Experiments. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2015. Lecture Notes in Computer Science(), vol 9120. Springer, Cham. https://doi.org/10.1007/978-3-319-19369-4_48

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  • DOI: https://doi.org/10.1007/978-3-319-19369-4_48

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19368-7

  • Online ISBN: 978-3-319-19369-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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