Iterative surrogate model optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks-Reference-Cited by-同舟云学术

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Iterative surrogate model optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks

Published:2021-02 Issue: Volume:374 Page:113575
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Lye Kjetil O.^ORCID,Mishra Siddhartha^ORCID,Ray Deep^ORCID,Chandrashekar Praveen^ORCID

Funder

ERC CoG, Switzerland

Department of Atomic Energy, Government of India

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference47 articles.

1. Computational Optimization of Systems Governed by Partial Differential Equations;Borzi,2012

2. Optimal Control of Partial Differential Equations;Troltzsch,2010

3. Aerodynamic shape optimization of wing and wing-body configurations using control theory;Reuther,1995

4. Applied Shape Optimization for Fluids;Mohammadi,2009

5. Practical Methods of Optimization;Fletcher,1987

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