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Titlebook: Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineeri; David Greiner,Blas Galván,Gabriel Wi

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发表于 2025-3-21 17:00:20 | 显示全部楼层 |阅读模式
期刊全称Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineeri
影响因子2023David Greiner,Blas Galván,Gabriel Winter
视频video
发行地址Recent state of the art in evolutionary and deterministic methods for design, optimization and control.Balanced theoretical and numerical methods and tools with engineering design and societal applica
学科分类Computational Methods in Applied Sciences
图书封面Titlebook: Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineeri;  David Greiner,Blas Galván,Gabriel Wi
影响因子.This book contains state-of-the-art contributions in the field of evolutionary and deterministic methods for design, optimization and control in engineering and sciences..Specialists have written each of the 34 chapters as extended versions of selected papers presented at the International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2013). The conference was one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS)..Topics treated in the various chapters are classified in the following sections: theoretical and numerical methods and tools for optimization (theoretical methods and tools; numerical methods and tools) and engineering design and societal applications (turbo machinery; structures, materials and civil engineering; aeronautics and astronautics; societal applications; electrical and electronics applications), focused particularly on intelligent systems for multidisciplinary design optimization (mdo) problems based on multi-hybridized software, adjoint-based and one-shot methods, uncertainty quantification and o
Pindex Book 2015
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发表于 2025-3-21 22:56:00 | 显示全部楼层
Matthew Hall,Sarah Grogan,Brendan Goughes are combined to speed up the optimization task. In the second part, several high dimensional response surface generation algorithms are presented, where some very basic hybridization concepts are introduced.
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https://doi.org/10.1007/978-981-15-6771-1 to increase the efficiency of EO processes (ANNEO). The number of contributions shows that the combination of both methodologies is nowadays a mature field but some new trends and the advances in computer science permits to affirm that there is still room for noticeable improvements.
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Fireworks: A Carnivals of Chemicalsents can be formulated in an optimal manner through an integer programming problem. The proposed methodology is illustrated on a drag performance model, with surrogates based on High Dimensional Model Representation (HDMR).
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,Summary — Directions for the Future,hics processing units (GPU) and the entire blade is parameterized in 3D. This approach shows that three-dimensional optimization of turbine blades is feasible within days of runtime and finds an improved blade design.
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