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  • 1.
    Holmström, Kenneth
    et al.
    Mälardalen University, Department of Mathematics and Physics.
    Quttineh, Nils-Hassan
    Mälardalen University, School of Education, Culture and Communication.
    The influence of Experimental Designs on the Performance of Surrogate Model Based Costly Global Optimization Solvers2009In: Studies in Informatics and Control, ISSN 1220-1766, E-ISSN 1841-429X, Vol. 18, no 1, p. 87-95Article in journal (Refereed)
    Abstract [en]

    When dealing with costly objective functions in optimization, one good alternative is to use a surrogate model approach. A common feature for all such methods is the need of an initial set of points, or "experimental design", in order to start the algorithm. Since the behavior of the algorithms often depends heavily on this set, the question is how to choose a good experimental design. We investigate this by solving a number of problems using different designs, and compare the outcome with respect to function evaluations and a root mean square error test of the true function versus the surrogate model produced. Each combination of problem and design is solved by 3 different solvers available in the TOMLAB optimization environment. Results indicate two designs as superior.

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