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Abstract

This paper shows that existing definitions of costs associated with soft global constraints are not sufficient to deal with all the usual global constraints. We propose more expressive definitions: refined variable-based cost, object-based cost and graph properties based cost. For the first two ones we provide ad-hoc algorithms to compute the cost from a complete assignment of values to variables. A representative set of global constraints is investigated. Such algorithms are generally not straightforward and some of them are even NP-Hard. Then we present the major feature of the graph properties based cost: a systematic way for evaluating the cost with a polynomial complexity.

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References

  1. Aggoun, A., Beldiceanu, N.: Extending CHIP in order to solve complex scheduling and placement problems. Mathl. Comput. Modelling 17(7), 57–73 (1993)

    Article  Google Scholar 

  2. Ahuja, R.K., Orlin, J.B., Stein, C., Tarjan, R.E.: Improved algorithms for bipartite network flow. SIAM Journal on Computing 23(5), 906–933 (1994)

    Article  MathSciNet  MATH  Google Scholar 

  3. Bajard, J.-C., Common, H., Kenion, C., Krob, D., Muller, J.-M., Petit, A., Robert, Y., Morvan, M.: Exercices d’algorithmique: oraux d’ENS. In: International Thomson Publishing, pp. 72–74 (1997) (in French)

    Google Scholar 

  4. Baptiste, P., Le Pape, C., Peridy, L.: Global constraints for partial CSPs: A case-study of resource and due date constraints. In: Maher, M.J., Puget, J.-F. (eds.) CP 1998. LNCS, vol. 1520, pp. 87–102. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  5. Beldiceanu, N.: Global constraints as graph properties on a structured network of elementary constraints of the same type. In: Dechter, R. (ed.) CP 2000. LNCS, vol. 1894, pp. 52–66. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  6. Beldiceanu, N.: Pruning for the minimum constraint family and for the number of distinct values constraint family. In: Walsh, T. (ed.) CP 2001. LNCS, vol. 2239, pp. 211–224. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  7. Beldiceanu, N., Carlsson, M.: Revisiting the cardinality operator and introducing the cardinality-path constraint family. In: Codognet, P. (ed.) ICLP 2001. LNCS, vol. 2237, pp. 59–73. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  8. Beldiceanu, N., Contejean, E.: Introducing global constraints in CHIP. Journal of Mathematical and Computer Modelling 20(12), 97–123 (1994)

    Article  MATH  Google Scholar 

  9. Berge, C.: Graphs and hypergraphs. Dunod, Paris (1970)

    Google Scholar 

  10. Bessière, C., Van Hentenryck, P.: To be or not to be.. a global constraint. In: Rossi, F. (ed.) CP 2003. LNCS, vol. 2833, pp. 789–794. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  11. Bistarelli, S., Montanari, U., Rossi, F., Schiex, T., Verfaillie, G., Fargier, H.: Semiring-based CSPs and valued CSPs: Frameworks, properties, and comparison. Constraints 4, 199–240 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  12. Dechter, R.: Constraint networks. Encyclopedia of Artificial Intelligence, 276–285 (1992)

    Google Scholar 

  13. Dechter, R., Pearl, J.: Network-based heuristics for constraint-satisfaction problems. Artificial Intelligence 34, 1–38 (1987)

    Article  MathSciNet  MATH  Google Scholar 

  14. Ford, L., Flukerson, D.: Flows in networks. Princeton University Press, Princeton (1962)

    MATH  Google Scholar 

  15. Fowler, R.J., Paterson, M.S., Tanimoto, S.L.: Optimal packing and covering in the plane are np-complete. Inform. Processing Letters 12(3), 133–137 (1981)

    Article  MathSciNet  MATH  Google Scholar 

  16. Garey, M.R., Johnson, D.S.: Computers and intractability: A guide to the theory of NP-completeness. W.H. Freeman and Company, New York (1979) ISBN 0-7167-1045-5

    MATH  Google Scholar 

  17. Gent, I., Stergiou, K., Walsh, T.: Decomposable constraints. Artificial Intelligence 123, 133–156 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  18. Lawler, E.: Combinatorial optimization: Networks and matroids. Holt, Rinehart and Winston (1976)

    MATH  Google Scholar 

  19. Pachet, F., Roy, P.: Automatic generation of music programs. In: Jaffar, J. (ed.) CP 1999. LNCS, vol. 1713, pp. 331–345. Springer, Heidelberg (1999)

    Google Scholar 

  20. Petit, T., Régin, J.-C., Bessière, C.: Meta constraints on violations for over constrained problems. In: Proceedings IEEE-ICTAI, pp. 358–365 (2000)

    Google Scholar 

  21. Petit, T., Régin, J.-C., Bessière, C.: Specific filtering algorithms for over constrained problems. In: Walsh, T. (ed.) CP 2001. LNCS, vol. 2239, pp. 451–463. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  22. Régin, J.-C.: A filtering algorithm for constraints of difference in CSPs. In: Proceedings AAAI, pp. 362–367 (1994)

    Google Scholar 

  23. Régin, J.-C.: Generalized arc consistency for global cardinality constraint. In: Proceedings AAAI, pp. 209–215 (1996)

    Google Scholar 

  24. Van Hentenryck, P., Michel, L.: Control abstractions for local search. In: Rossi, F. (ed.) CP 2003. LNCS, vol. 2833, pp. 66–80. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

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Beldiceanu, N., Petit, T. (2004). Cost Evaluation of Soft Global Constraints. In: Régin, JC., Rueher, M. (eds) Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems. CPAIOR 2004. Lecture Notes in Computer Science, vol 3011. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24664-0_6

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  • DOI: https://doi.org/10.1007/978-3-540-24664-0_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21836-4

  • Online ISBN: 978-3-540-24664-0

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