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Titlebook: Simulation-Driven Modeling and Optimization; ASDOM, Reykjavik, Au Slawomir Koziel,Leifur Leifsson,Xin-She Yang Conference proceedings 2016

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发表于 2025-3-21 18:00:01 | 显示全部楼层 |阅读模式
书目名称Simulation-Driven Modeling and Optimization
副标题ASDOM, Reykjavik, Au
编辑Slawomir Koziel,Leifur Leifsson,Xin-She Yang
视频video
概述Presents strategies for enhancing automated simulation-driven modeling design practices.Highlights invaluable techniques for areas such as engineering, hydrodynamics, ocean science and climate modelin
丛书名称Springer Proceedings in Mathematics & Statistics
图书封面Titlebook: Simulation-Driven Modeling and Optimization; ASDOM, Reykjavik, Au Slawomir Koziel,Leifur Leifsson,Xin-She Yang Conference proceedings 2016
描述This edited volume is devoted to the now-ubiquitous use of computational models across most disciplines of engineering and science, led by a trio of world-renowned researchers in the field. Focused on recent advances of modeling and optimization techniques aimed at handling computationally-expensive engineering problems involving simulation models, this book will be an invaluable resource for specialists (engineers, researchers, graduate students) working in areas as diverse as electrical engineering, mechanical and structural engineering, civil engineering, industrial engineering, hydrodynamics, aerospace engineering, microwave and antenna engineering, ocean science and climate modeling, and the automotive industry, where design processes are heavily based on CPU-heavy computer simulations. Various techniques, such as knowledge-based optimization, adjoint sensitivity techniques, and fast replacement models (to name just a few) are explored in-depth along withan array of the latest techniques to optimize the efficiency of the simulation-driven design process..High-fidelity simulation models allow for accurate evaluations of the devices and systems, which is critical in the design p
出版日期Conference proceedings 2016
关键词computational modeling; computer simulation; engineering optimization; numerical optimization; simulatin
版次1
doihttps://doi.org/10.1007/978-3-319-27517-8
isbn_softcover978-3-319-80159-9
isbn_ebook978-3-319-27517-8Series ISSN 2194-1009 Series E-ISSN 2194-1017
issn_series 2194-1009
copyrightSpringer International Publishing Switzerland 2016
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发表于 2025-3-21 22:57:14 | 显示全部楼层
978-3-319-80159-9Springer International Publishing Switzerland 2016
发表于 2025-3-22 04:00:31 | 显示全部楼层
Simulation-Driven Modeling and Optimization978-3-319-27517-8Series ISSN 2194-1009 Series E-ISSN 2194-1017
发表于 2025-3-22 06:18:57 | 显示全部楼层
Springer Proceedings in Mathematics & Statisticshttp://image.papertrans.cn/s/image/867694.jpg
发表于 2025-3-22 10:44:34 | 显示全部楼层
https://doi.org/10.1007/978-3-319-27517-8computational modeling; computer simulation; engineering optimization; numerical optimization; simulatin
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Numerical Aspects of Model Order Reduction for Gas Transportation Networks,or more involved network components such as valves or regulators are considered. The numerical condition of the reduced system and the accuracy of its solutions are compared to the full-size formulation for a variety of inflow and outflow transients and parameter realizations.
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Performance Optimization of EBG-Based Common Mode Filters for Signal Integrity Applications,y, widening the bandwidth, and increasing the band-notch depth. The optimization approach proposed here combines fast response surface approximation modeling for initial design screening and local derivative-free design improvement using pattern search.
发表于 2025-3-23 05:06:15 | 显示全部楼层
Efficient Reconfigurable Microstrip Patch Antenna Modeling Exploiting Knowledge Based Artificial Neensure better accuracy compared to conventional ANN modeling. The necessary knowledge can be obtained by the coarse model which is a complex 3D-EM simulation in terms of grid size selection. Knowledge based techniques can improve the performance of conventional ANN through the guidance of the coarse
发表于 2025-3-23 09:30:00 | 显示全部楼层
Expedited Simulation-Driven Multi-Objective Design Optimization of Quasi-Isotropic Dielectric Resonectric resonator antenna (DRA) with respect to three design criteria. The considered solution approaches rely on surrogate-based optimization (SBO) paradigm, where the design speedup is obtained by shifting the optimization burden into a cheap replacement model referred to as a surrogate. The latter
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