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

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    Author
    Keresztes, Janos C.
    John Koshel, R.
    D’huys, Karlien
    De Ketelaere, Bart
    Audenaert, Jan
    Goos, Peter
    Saeys, Wouter
    Affiliation
    Univ Arizona, Coll Opt Sci
    Issue Date
    2016-12-12
    
    Metadata
    Show full item record
    Publisher
    OPTICAL SOC AMER
    Citation
    Augmented design and analysis of computer experiments: a novel tolerance embedded global optimization approach applied to SWIR hyperspectral illumination design 2016, 24 (26):29380 Optics Express
    Journal
    Optics Express
    Rights
    © 2016 Optical Society of America.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    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 combined with a novel two phase design augmentation (DACEDA), which models the entire merit space using a Gaussian process, with iteratively increased resolution around the optimum. The algorithm is introduced through a series of cases studies with increasing complexity for optimizing uniformity of a short-wave infrared (SWIR) hyperspectral imaging (HSI) illumination system (IS). The method is first demonstrated for a two-dimensional problem consisting of the positioning of analytical isotropic point sources. The method is further applied to two-dimensional (2D) and five-dimensional (5D) SWIR HSI IS versions using close-and far-field measured source models applied within the non-sequential ray-tracing software FRED, including inherent stochastic noise. The proposed method is compared to other heuristic approaches such as simplex and simulated annealing (SA). It is shown that DACEDA converges towards a minimum with 1 % improvement compared to simplex and SA, and more importantly requiring only half the number of simulations. Finally, a concurrent tolerance analysis is done within DACEDA for to the five-dimensional case such that further simulations are not required. (C) 2016 Optical Society of America
    Note
    Open Access Journal
    ISSN
    1094-4087
    PubMed ID
    28059326
    DOI
    10.1364/OE.24.029380
    Version
    Final published version
    Sponsors
    Promotion of Innovation through Science and Technology in Flanders (IWT-Flanders) Chameleon project [SB-100021]; European Union's Seventh Framework Program for research, technological development and demonstration PicknPack project [311987]; KU Leuven Junior Mobility Program (JUMO) [15-1301-1507]
    Additional Links
    https://www.osapublishing.org/abstract.cfm?URI=oe-24-26-29380
    ae974a485f413a2113503eed53cd6c53
    10.1364/OE.24.029380
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