By Alain Colmerauer (auth.), Peter J. Stuckey (eds.)
ISBN-10: 3540859578
ISBN-13: 9783540859574
ISBN-10: 3540859586
ISBN-13: 9783540859581
This booklet constitutes the refereed court cases of the 14th foreign 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 software 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 points - utilizing algorithms, environments, languages, types and platforms - to fixing real-world difficulties in a number of software fields.
Read or Download Principles and Practice of Constraint Programming: 14th International Conference, CP 2008, Sydney, Australia, September 14-18, 2008. Proceedings PDF
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Extra info for Principles and Practice of Constraint Programming: 14th International Conference, CP 2008, Sydney, Australia, September 14-18, 2008. Proceedings
Sample text
In: Wallace, M. ) CP 2004. LNCS, vol. 3258, pp. 305–316. Springer, Heidelberg (2004) 10. : Planning and scheduling to minimize tardiness. In: van Beek, P. ) CP 2005. LNCS, vol. 3709, pp. 314–327. Springer, Heidelberg (2005) 11. : Integer Programming and Constraint Programming in Solving a Multimachine Assignment Scheduling Problem with Deadlines and Release Dates. INFORMS Journal on Computing 18(2), 209–217 (2006) 12. com/tech/cellsw/download 13. : Algorithms for propagating resource constraints in AI planning and scheduling: Existing approaches and new results.
In this paper we propose a pure Constraint Programming approach for this problem. CP has been previously used to solve similar, yet simplified, problems. The work in [25] is based on Constraint Logic Programming to represent system synthesis problem, and leverages a set of finite domain variables and constraints imposed on these variables. Optimal solutions can be obtained for small problems, while large problems require the use of heuristic algorithms. The proposed framework is able to create pipelined implementations in order to increase the design throughput.
However, the basic SDK does not offer any facility for optimizing the resource utilization in terms of both allocation and scheduling, memory transfers and utilization. We want to set programmers free from the issue of managing allocation and scheduling tasks, so they can focus on developing the core algorithms of the application. The allocation and scheduling problems that are at the core of the mapping task are quite large and extremely challenging, and they are usually tackled using incomplete approaches.
Principles and Practice of Constraint Programming: 14th International Conference, CP 2008, Sydney, Australia, September 14-18, 2008. Proceedings by Alain Colmerauer (auth.), Peter J. Stuckey (eds.)
by John
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