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Titlebook: Abstraction, Reformulation, and Approximation; 7th International Sy Ian Miguel,Wheeler Ruml Conference proceedings 2007 Springer-Verlag Ber

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發(fā)表于 2025-3-21 17:39:37 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Abstraction, Reformulation, and Approximation
期刊簡(jiǎn)稱(chēng)7th International Sy
影響因子2023Ian Miguel,Wheeler Ruml
視頻videohttp://file.papertrans.cn/144/143490/143490.mp4
學(xué)科分類(lèi)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Abstraction, Reformulation, and Approximation; 7th International Sy Ian Miguel,Wheeler Ruml Conference proceedings 2007 Springer-Verlag Ber
Pindex Conference proceedings 2007
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https://doi.org/10.1007/978-3-319-61729-9de-composing a CSP into a DFS-tree CSP structure; (ii) an heuristic search technique for solving DFS-tree CSP structures. This heuristic search technique has been empirically evaluated with random CSPs. The evaluation results show that the behavior of our heuristic outperforms than the behavior of a centralized algorithm.
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Gary Tan,Gee Kin Yeo,Yong Meng Teoto a solver-independent constraint modelling language .′. However, there is still significant work involved in translating an .′ model for use with a particular constraint solver. This paper discusses this ‘tailoring’ process with reference to the constraint solver ..
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Kennedy Kam Ho Chan,Yi-Fen Yeh,Ying-Shao Hsuh. The talk illustrates these ideas with examples in freight shipment, employee scheduling, continuous global optimization, airline crew scheduling, the propositional satisfiability problem, and multiple machine scheduling.
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On Lao Tzu: His Impact on Chinese Thinkings to avoid generating them. We describe each of these reformulations in the context of CSPs, then evaluate their performance and effects in on the building identification problem introduced by Michalowski and Knoblock?[1].
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Xueping Zhu,Zhengchun Liu,Jun Yangthat is, that the translation preserves satisfiability. The main contribution of this work is in utilizing input fragmentation to yield PL KBs that are smaller than possible prior to our work, thus resulting in the ability to solve GL. SAT problems faster than was possible before.
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