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Titlebook: Learning Environments; Contributions from D Jules M. Pieters,Klaus Breuer,P. Robert-Jan Simons Book 1990 Springer-Verlag Berlin Heidelberg

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樓主: 平凡人
21#
發(fā)表于 2025-3-25 05:21:09 | 只看該作者
22#
發(fā)表于 2025-3-25 08:10:04 | 只看該作者
M. J. Treep,J. M. Pieterset paper, kitchen rolls, facial tissues) is such an industry. Its production process is flexible enough to leverage partial planning reorganization allowing to reduce electricity consumption. The idea is to shift the production of the tissues (rolls) requiring more energy when electricity prices (fo
23#
發(fā)表于 2025-3-25 13:12:17 | 只看該作者
24#
發(fā)表于 2025-3-25 17:28:04 | 只看該作者
P. C. van der Sijde,S. Dijkstra,E. BenninkThere are two fundamentally different concepts to generate valid global constraints from infeasible subproblems. The first is to analyze the sequence of implications, obtained by domain propagation, that led to infeasibility. The result of the analysis is one or more sets of contradicting variable b
25#
發(fā)表于 2025-3-25 22:11:38 | 只看該作者
26#
發(fā)表于 2025-3-26 03:22:50 | 只看該作者
27#
發(fā)表于 2025-3-26 05:10:06 | 只看該作者
B. J. van Kesteren,K. Tj. Boswhite queens cannot attack the black queens. We show how the symmetry of the problem can be straightforwardly eliminated using SBDS, allowing a?set of non-isomorphic optimal solutions to be found. We present three different ways of modelling the problem in constraint programming, starting from a?bas
28#
發(fā)表于 2025-3-26 11:15:40 | 只看該作者
K. Bos,A. Ruijters,A. Visscherly solve such problems with a constraint programming solver, it is important to have strong and fast propagators for cumulative resource constraints. Time-table-edge-finding propagators are a recent development in cumulative propagators, that combine the current resource profile (time-table) during
29#
發(fā)表于 2025-3-26 16:17:20 | 只看該作者
washeldinPrague,CzechRepublic,duringMay31–June1,2005. The conference is intended primarily as a forum to focus on the integration and hybridization of the approaches of constraint programming (CP), arti?cial intelligence (AI), and operations research (OR) technologies for solving large-scale and com
30#
發(fā)表于 2025-3-26 17:47:04 | 只看該作者
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