Augmented design and analysis of computer experiments: a novel tolerance embedded global optimization approach applied to SWIR hyperspectral illumination design

Janos C. Keresztes (Contributor)
R. John Koshel (Contributor)
Karlien D'Huys (Contributor)
Bart De Ketelaere (Contributor)
Jan Audenaert (Creator)
Peter Goos (Creator)
Wouter Saeys (Creator)

Dataset

Description

A novel meta-heuristic approach for minimizing nonlinear constrained problems is proposed, which offers tolerance information during the search for the global optimum. The method is based on the concept of design and analysis of computer experiments com...

Date made available	2016
Publisher	figshare

DOI
10.6084/m9.figshare.c.3766328.v1

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CC BY

1 Article

Augmented design and analysis of computer experiments: A novel tolerance embedded global optimization approach applied to SWIR hyperspectral illumination design
Keresztes, J. C., Koshel, R. J., D'Huys, K., De Ketelaere, B., Audenaert, J., Goos, P. & Saeys, W., Dec 26 2016, In: Optics Express. 24, 26, p. 29380-29405 26 p.
Research output: Contribution to journal › Article › peer-review

Open Access
5 Scopus citations

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Keresztes, J. C. (Contributor), Koshel, R. J. (Contributor), D'Huys, K. (Contributor), De Ketelaere, B. (Contributor), Audenaert, J. (Creator), Goos, P. (Creator), Saeys, W. (Creator) (2016). Augmented design and analysis of computer experiments: a novel tolerance embedded global optimization approach applied to SWIR hyperspectral illumination design. figshare. 10.6084/m9.figshare.c.3766328.v1

Augmented design and analysis of computer experiments: a novel tolerance embedded global optimization approach applied to SWIR hyperspectral illumination design

Description

DOI

Access Dataset

Research output

Augmented design and analysis of computer experiments: A novel tolerance embedded global optimization approach applied to SWIR hyperspectral illumination design

Cite this