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Principles and Practice of Constraint Programming: 14th by Alain Colmerauer (auth.), Peter J. Stuckey (eds.)

By Alain Colmerauer (auth.), Peter J. Stuckey (eds.)

This e-book constitutes the refereed complaints of the 14th overseas convention on rules and perform of Constraint Programming, CP 2008, Sydney, Australia, September, 2008.

The 27 revised complete papers and 23 revised brief papers offered including 6 program papers and the abstracts of 1 invited lecture have been rigorously reviewed and chosen from a hundred and twenty submissions. All present problems with computing with constraints are addressed, starting from methodological and foundational elements - utilizing algorithms, environments, languages, types 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: 14th International Conference, CP 2008, Sydney, Australia, September 14-18, 2008. Proceedings

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Acknowledgement The work described in this publication was supported by the PREDATOR Project funded by the European Community’s 7th Framework Programme, Contract FP7-ICT216008. References 1. : From precedence constraint posting to partial order schedulesA CSP approach to Robust Scheduling. AI Communications 20(3), 163–180 (2007) 2. : Complete MCS-Based Search: Application to Resource Constrained Project Scheduling. In: Proc. of IJCAI 2005, pp. 181–186 (2005) 3. : Allocation and scheduling for MPSOCs via decomposition and no-good generation.

The scheduling phase represents the problem’s central decision process and it was implemented as a CP model. In the sequel, each phase will be discussed, with the CP model described in more detail. Planning and Routing. To generate delivery orders, we created a randomized constructive heuristic that makes use of the accumulated experience at petrobras. The purpose of the randomization is to generate diversified sets of orders in case the main cycle restarts, increasing the chance of finding solutions.

Springer, Heidelberg (2005) 4. : Allocation, Scheduling and Voltage Scaling on Energy Aware MPSoCs. M. ) CPAIOR 2006. LNCS, vol. 3990, pp. 44–58. Springer, Heidelberg (2006) 5. : Multi-stage Benders Decomposition for Optimizing Multicore Architectures. A. ) CPAIOR 2008. LNCS, vol. 5015, pp. 36–50. Springer, Heidelberg (2008) 6. : Detecting infeasibility and generating cuts for MIP using CP. In: Int. Workshop Integration AI OR Techniques Constraint Programming Combin. Optim. Problems CP-AI-OR 2003, Montreal, Canada (2003) 7.

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