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    Applied Technology with an Improved EGO Algorithm for Incremental Kriging
    Trans Tech Publications, Ltd. ; 2014
    In:  Applied Mechanics and Materials Vol. 662 ( 2014-10), p. 277-280
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    In: Applied Mechanics and Materials, Trans Tech Publications, Ltd., Vol. 662 ( 2014-10), p. 277-280
    Abstract: Efficient Global Optimization (EGO) method with Kriging model is rapid, stable and effective for a complex black-box function. However, How to get a more global optimal point on the basis of saving some computation has been concerned in simulation-based design optimization. In order to better solve a black-box unconstrained optimization problem, this paper introduces a new EGO method called improved generalized EGO (IGEGO). In this algorithm, generalized expected improvement (GEI: a new infill sampling criterion) which round off Euclidean norm of θ to replace parameter g may better balance global and local search in IGEGO method. Several numerical tests are given to illustrate the applicability, effectiveness and reliability of the proposed methods.
    Type of Medium: Online Resource
    ISSN: 1662-7482
    URL: Issue
    URL: Article
    DOI: 10.4028/www.scientific.net/AMM.662
    DOI: 10.4028/www.scientific.net/AMM.662.277
    Language: Unknown
    Publisher: Trans Tech Publications, Ltd.
    Publication Date: 2014
    detail.hit.zdb_id: 2251882-4
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