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Reformulating Combinatorial Optimization as Constraint Satisfaction

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Abstraction, Reformulation, and Approximation (SARA 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2371))

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Abstract

I am currently a third year graduate (PhD) student in the Computer Science Department of Stanford University working in the Artificial Intelligence areas of Planning, Scheduling, Diagnosis, Hybrid Systems and Constraint Satisfaction.

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References

  1. Kumar, T. K. S. and Dearden, R. 2002. The Oracular Constraints Method. Proceedings of the Fifth International Symposium on Abstraction Reformulation and Approximation (SARA 2002).

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  2. Kurien, J. and Nayak, P. P. 2000. Back to the Future for Consistency-Based Trajectory Tracking. Proceedings of the Seventeenth National Conference on Artificial Intelligence (AAAI 2000).

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  3. Leighton, T., Makedon, F., Plotkin, S., Stein, C., Tardos, E. and Tragoudas, S. 1991. Fast Approximation Algorithms for Multicommodity Flow Problem. In Proceedings of the 23rd ACM Symposium on the Theory of Computing, pages 101–111, May 1991.

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  4. Plotkin, S., Shmoys, D. and Tardos, E. 1995. Fast Approximation Algorithms for Fractional Packing and Covering Problems. Math of Oper. Research, 20(2):257–301, 1995.

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© 2002 Springer-Verlag Berlin Heidelberg

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Kumar, T.K.S. (2002). Reformulating Combinatorial Optimization as Constraint Satisfaction. In: Koenig, S., Holte, R.C. (eds) Abstraction, Reformulation, and Approximation. SARA 2002. Lecture Notes in Computer Science(), vol 2371. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45622-8_33

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  • DOI: https://doi.org/10.1007/3-540-45622-8_33

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43941-7

  • Online ISBN: 978-3-540-45622-3

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