By Shabbir Ahmed (auth.), Frédéric Benhamou (eds.)

This publication constitutes the refereed lawsuits of the twelfth overseas convention on ideas and perform of Constraint Programming, CP 2006, held in Nantes, France in September 2006.

The forty two revised complete papers and 21 revised brief papers awarded including prolonged abstracts of 4 invited talks have been conscientiously reviewed and chosen from 142 submissions.

All present problems with computing with constraints are addressed, starting from methodological and foundational elements - utilizing algorithms, environments, languages, versions and platforms - to fixing real-world difficulties in a number of software fields.

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Additional resources for Principles and Practice of Constraint Programming - CP 2006: 12th International Conference, CP 2006, Nantes, France, September 25-29, 2006. Proceedings

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Technical report, Parc Technologies Ltd, 2003. 40. H. Simonis. Constraint applications in networks. In F. Rossi, P. van Beek, and T. Walsh, editors, Handbook of Constraint Programming, chapter 25. Elsevier, 2006. 28 H. Simonis 41. B. M. Smith. Symmetry and search in a network design problem. In Roman Bart´ ak and Michela Milano, editors, CPAIOR, volume 3524 of Lecture Notes in Computer Science, pages 336–350. Springer, 2005. 42. C. Srinivasan, A. Viswanathan, and T. D. Nadeau. Multiprotocol label switching (MPLS) label switching router (LSR) management information base.

43. J. Symes. Bandwidth-on-demand services using MPLS-TE. In MPLS World Congress 2004, Paris, France, February 2004. 44. Y. Tsang, M. Coates, and R. Nowak. Passive network tomography using EM algorithms. In IEEE Conf Acoust. Speech and Signal Proc, May 2001. 45. P. P. Carillon. Generality versus specificity: An experience with AI and OR techniques. In AAAI, pages 660–664, 1988. 46. R. Vanderbei and J. Iannone. An EM approach to OD matrix estimation. Technical Report SOR 94-04, Princeton University, 1994.

A branch-price-and-propagate approach for optimising IGP weight setting subject to unique shortest paths. In Proceedings of the 20th Annual ACM Symposium on Applied Computing (ACM SAC ’05), Santa Fe, New Mexico, March 2005. 2. F. Ajili, R. Rodosek, and A. Eremin. A scalable tabu search algorithm for optimising IGP routing. In 2nd International Network Optimization Conference (INOC ’05), pages 348–354, March 2005. 3. J. Cao, D. Davis, S. Vander Weil, and B. Yu. Time-varying network tomography. Journal of the American Statistical Association, 2000.

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