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A Surrogate-Based Framework with Hybrid Refinement Strategies for Aerodynamic Shape Optimization

Li, Chunna (2013) A Surrogate-Based Framework with Hybrid Refinement Strategies for Aerodynamic Shape Optimization. DLR-Forschungsbericht. FB 2013-16, 100 S.

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Item URL in elib:https://elib.dlr.de/84227/
Document Type:Monograph (DLR-Forschungsbericht)
Title:A Surrogate-Based Framework with Hybrid Refinement Strategies for Aerodynamic Shape Optimization
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Li, ChunnaChunna.li (at) dlr.deUNSPECIFIED
Date:2013
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:100
ISSN:1434-8454
Status:Published
Keywords:Surrogate Modeling, Kriging, Python, TAU, optimization
Institution:DLR
Department:C²A²S²E
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Aircraft Research (old)
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Simulation & Validation (old)
Location: Braunschweig
Institutes and Institutions:Institute of Aerodynamics and Flow Technology > C²A²S²E - Center for Computer Applications in AeroSpace Science and Engineering
Deposited By: Seyfried, Beate
Deposited On:16 Sep 2013 12:02
Last Modified:16 Sep 2013 12:02

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