Surrogate-based model parameter optimization based on gas explosion experimental data-Reference-Cited by-同舟云学术

Surrogate-based model parameter optimization based on gas explosion experimental data

Published:2018-04-06 Issue:2 Volume:51 Page:301-316
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Both Anna-Lena¹²,Hisken Helene¹³,Rückmann Jan-J.²,Steihaug Trond²

Affiliation:

1. Research & Development, Gexcon AS, Bergen, Norway

2. Department of Informatics, University of Bergen, Bergen, Norway

3. Department of Physics and Technology, University of Bergen, Bergen, Norway

Funder

Norges Forskningsråd

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2018.1450399

Reference30 articles.

1. Response surfaces for advanced consequence models: Two approaches

2. Braatz, A.L., H. Hisken, and J.J. Rückmann. 2016. “Surrogate-Based Optimisation of Model Parameters for the Improved Modelling of Industrial-Scale Gas Explosions.” In 5th International Conference on Engineering Optimization (EngOpt 2016), 19–23 June 2016, Iguassu Falls, Brazil.

3. A multiobjective response surface approach for improved water quality planning in lakes and reservoirs

4. An Interior Trust Region Approach for Nonlinear Minimization Subject to Bounds

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