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Titlebook: Automatic Algorithm Selection for Complex Simulation Problems; Roland Ewald Book 2012 Vieweg+Teubner Verlag | Springer Fachmedien Wiesbade

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發(fā)表于 2025-3-21 16:39:43 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Automatic Algorithm Selection for Complex Simulation Problems
影響因子2023Roland Ewald
視頻videohttp://file.papertrans.cn/167/166394/166394.mp4
圖書封面Titlebook: Automatic Algorithm Selection for Complex Simulation Problems;  Roland Ewald Book 2012 Vieweg+Teubner Verlag | Springer Fachmedien Wiesbade
影響因子.To select the most suitable simulation algorithm for a given task is often difficult. This is due to intricate interactions between model features, implementation details, and runtime environment, which may strongly affect the overall performance. An automated selection of simulation algorithms supports users in setting up simulation experiments without demanding expert knowledge on simulation. .?.Roland Ewald analyzes and discusses existing approaches to solve the algorithm selection problem in the context of simulation. He introduces a framework for automatic simulation algorithm selection and describes its integration into the open-source modelling and simulation framework James II. Its selection mechanisms are able to cope with three situations: no prior knowledge is available, the impact of problem features on simulator performance is unknown, and a relationship between problem features and algorithm performance can be established empirically. The author concludes with an experimental evaluation of the developed methods..
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發(fā)表于 2025-3-21 23:07:28 | 只看該作者
Automatic Algorithm Selection for Complex Simulation Problems
板凳
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地板
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https://doi.org/10.1007/978-3-642-92053-0g mechanisms are in place to feed observations into a dedicated performance database, as described in chapter 5, it has to be discussed how this data can be analyzed so that suitable selection mappings are generated (see fig. 6.1).
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發(fā)表于 2025-3-22 12:59:03 | 只看該作者
https://doi.org/10.1007/978-3-663-10125-3prototypical extension of the JAMES II registry, so that automated algorithm selection is supported in a way that does not affect the existing code base. It describes the management and exploitation of the performance data analyses, as depicted in figure 8.1.
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Algorithm Selectionental importance of the problem in many fields of computer science, another one the divergence between theoretical research and practical implementations in the various application areas: . [96, p. 297].
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