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Titlebook: Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Indu; Esther Andrés-Pérez,Leo M. González,

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书目名称Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Indu
编辑Esther Andrés-Pérez,Leo M. González,Kyriakos Giann
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概述Contains state-of-the-art contributions in the field of evolutionary and deterministic methods for design, optimization and control in engineering and sciences.Presents works from a peer reviewed conf
丛书名称Computational Methods in Applied Sciences
图书封面Titlebook: Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Indu;  Esther Andrés-Pérez,Leo M. González,
描述.This book contains thirty-five 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 2017). This was one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS)...Topics treated in the various chapters reflect the state of the art in theoretical and numerical methods and tools for optimization, and engineering design and societal applications. The volume focuses particularly on intelligent systems for multidisciplinary design optimization (mdo) problems based on multi-hybridized software, adjoint-based and one-shot methods, uncertainty quantification and optimization, multidisciplinary design optimization, applications of game theory to industrial optimization problems, applications in structural and civil engineering optimum design and surrogate models based optimization methodsin aerodynamic design..
出版日期Book 2019
关键词Design Optimization; Metaheuristics; Evolutionary and Deterministic Algoritms; Methods and Tools for Op
版次1
doihttps://doi.org/10.1007/978-3-319-89890-2
isbn_softcover978-3-030-07887-4
isbn_ebook978-3-319-89890-2Series ISSN 1871-3033 Series E-ISSN 2543-0203
issn_series 1871-3033
copyrightSpringer International Publishing AG, part of Springer Nature 2019
The information of publication is updating

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Adjoint Shape Optimisation Using Model Boundary Representationed to define the geometry of a model is often integral to the efficiency of the design. However, it is not always possible to access these parameters due to the closed-source, non-standardized nature of most CAD software. A sensible choice, is to use standard CAD files which have an open format, in
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Node-Based Adjoint Surface Optimization of U-Bend Duct for Pressure Loss Reduction gas turbines. The optimization technique proposed in the present work is based on the continuous adjoint shape method and is implemented in the OpenFOAM open-source framework. The calculated gradients of the objective function are linked to a node-based constrained morphing routine, allowing the mo
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Finite Transformation Rigid Motion Mesh Morphert each optimization cycle. Morphing has its share of challenges, namely to maintain high mesh quality (avoid distorted elements and tangles) even during extreme deformations. In this work, the Finite Transformation Rigid Motion Mesh Morpher (FT–R3M) is presented, an improved version of the Rigid Mot
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A Comparative Evaluation of Surrogate Models for Transonic Wing Shape Optimizationing, Radial Basis Function Network (RBFN) and Proper Orthogonal Decomposition in combination with RBFNs (POD+RBFN) are employed as fitness function evaluators within the framework of evolutionary algorithms (EAs). The surrogate-assisted optimization consists of initializing the surrogate with space-
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