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Esther Andrés-Pérez, Daniel González-Juarez, Mario Martin, Emilano Iuliano, Davide Cinquegrana, Gerald Carrier, Jacques Peter, Didier Bailly, Olivier Amoignon, Petr Dvorak, David Funes, Per Weinerfelt, Leopoldo Carro, Sancho Salcedo, Yaochu Jin, John Doherty, Handing Wang
Original Title
Garteur AD/AG-52: Surrogate-Based Global Optimization Methods in Preliminary Aerodynamic Design
Type
book chapter
Language
English
Original Abstract
This work presents a summary of the results obtained during the activities developed within the GARTEUR AD/AG-52 group. GARTEUR stands for “Group for Aeronautical Research and Technology in Europe” and is a multinational organization that performs high quality, collaborative, precompetitive research in the field of aeronautics to improve technological competence of the European Aerospace Industry. The aim of the AG52 group was to make an evaluation and assessment of surrogate-based global optimization methods for aerodynamic shape design of aeronautical configurations. The structure of the paper is as follows: Sect. “Introduction” will introduce the state-of-the-art in surrogate-based optimization for aerodynamic design and Sect. “Definition of Common Test Cases and Methods” will detail the test cases selected in the AG52 group. Optimization results will be then showed in Sect. “Optimization Results”, and conclusions will be provided in the last section.
Keywords
surrogate, global, optimization, curse of dimensionality, sampling
Authors
Released
7. 9. 2018
Publisher
Springer Nature
Location
New York, USA
ISBN
978-3-319-89890-2
Book
Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems. Computational Methods in Applied Sciences.
Edition
49
Edition number
1
Pages from
195
Pages to
210
Pages count
15
URL
https://link.springer.com/chapter/10.1007%2F978-3-319-89890-2_13
BibTex
@inbook{BUT156194, author="Petr {Dvořák}", title="Garteur AD/AG-52: Surrogate-Based Global Optimization Methods in Preliminary Aerodynamic Design", booktitle="Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems. Computational Methods in Applied Sciences.", year="2018", publisher="Springer Nature", address="New York, USA", series="49", edition="1", pages="195--210", doi="10.1007/978-3-319-89890-2\{_}13", isbn="978-3-319-89890-2", url="https://link.springer.com/chapter/10.1007%2F978-3-319-89890-2_13" }