Abstract
Most work in constraint satisfaction has concentrated on computing a solution to a given problem. In practice, it often happens that an existing solution needs to be modified to satisfy additional criteria or changes in the problem. For example, a schedule or plan might have to be adjusted when a resource is missing. The concept of interchangeability characterizes the possibilities for making local changes to CSP solutions.
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References
Eugene C. Freuder. Eliminating Interchangeable Values in Constraint Satisfaction Problems. In In Proc. of AAAI-91, pages 227–233, Anaheim, CA, 1991.
Nicoleta Neagu and Boi Faltings. Exploiting Interchangeabilities for Case Adaptation. In In Proc. of the 4th ICCBR-01, pages 422–437, Vancouver, CA, 2001.
Stefano Bistarelli, Boi Faltings, and Nicoleta Neagu. Interchangeability in Soft CSPs. In Proc. of the 8th CP-2002., Ithaca, NY, USA, 2002.
Stefano Bistarelli, Ugo Montanari, and Francesca Rossi. Semiring-based Constraint Solving and Optimization. Journal of ACM., 44, n. 2:201–236, 1997.
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Neagu, N. (2002). Studying Interchangeability in Constraint Satisfaction Problems. In: Van Hentenryck, P. (eds) Principles and Practice of Constraint Programming - CP 2002. CP 2002. Lecture Notes in Computer Science, vol 2470. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46135-3_81
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DOI: https://doi.org/10.1007/3-540-46135-3_81
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