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Stable Solutions Dealing with Dynamics in Scheduling Based on Dynamic Constraint Satisfaction Problems

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Book cover PRICAI 2004: Trends in Artificial Intelligence (PRICAI 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3157))

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Abstract

The real-life scheduling problems are often over-constrained, and there is often one intractable case where unexpected events are added and a sudden change is required. In this paper, we describe such problems as the Dynamic Valued Constraint Satisfaction Problem (DyVCSP). In DyVCSP, although the previous schedule would be modified when there is some change, the new schedule should be similar to the current one. We propose a method for achieving solution stability, which maintains portions of the current schedule using the provisional soft constraint. The provisional constraint ensures each variable keeps its value as much as possible. In this paper, we formalize the nurse scheduling problem as DyVCSP and use our method to achieve solution stability.

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References

  1. Wallace, R.J., Freuder, E.C.: Stable solutions for dynamic constraint satisfaction problems. In: Proceedings of the 4th International Conference on Principles and Practice of Constraint Programming, pp. 447–461 (1998)

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  2. Verfaillie, G., Schiex, T.: Solution reuse in dynamic constraint satisfaction problems. In: Proceedings of the 12th National Conference on Artificial Intelligence(AAAI 1994), pp. 307–312 (1994)

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© 2004 Springer-Verlag Berlin Heidelberg

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Hattori, H., Shintani, T., Isomura, A., Ito, T., Ozono, T. (2004). Stable Solutions Dealing with Dynamics in Scheduling Based on Dynamic Constraint Satisfaction Problems. In: Zhang, C., W. Guesgen, H., Yeap, WK. (eds) PRICAI 2004: Trends in Artificial Intelligence. PRICAI 2004. Lecture Notes in Computer Science(), vol 3157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28633-2_128

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  • DOI: https://doi.org/10.1007/978-3-540-28633-2_128

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22817-2

  • Online ISBN: 978-3-540-28633-2

  • eBook Packages: Springer Book Archive

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