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Implement the Efficient Global Optimisation (EGO) Algorithm for Expensive Black-box functions

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  • Alkeri50 commented  ·   ·  Flag as inappropriate

    Not having a knowledge about technical topics like these can be a problem when operating a business. Even basic marketing activities need some technical expertise these days. Since I lack such skills myself, so I have hired Google Adwords Campaign Management agency as well as seo consulting firm http://visiblefactors.com/ppc-sem-campaign-management/ for my business.

  • Tom Robinson commented  ·   ·  Flag as inappropriate

    This is a general stochastic method for finding the global optimum of an unknown function in any number of dimensions. It is most useful for expensive black box functions (i.e. a objective 'function' which takes minutes/hours for a single iteration).

    This method has various added benefits. One being: As the optimisation is performed, a response surface is fitted to the unknown function which can be used as a surrogate for future function evaluations. The 'kriging' response model parameterises the unknown functions input variables in terms of output sensitivity and smoothness.

    An outline of the original method is described in:

    Jones, D., Schonlau, M., and Welch, W., 1998, “Efficient Global Optimization
    of Expensive Black-Box Functions,” J. Global Optim., 134, pp. 455–492.

    A copy of which can be found via Google search here:

    http://www.ressources-actuarielles.net/EXT/ISFA/1226.nsf/9c8e3fd4d8874d60c1257052003eced6/f84f7ac703bf5862c12576d8002f5259/$FILE/Jones98.pdf

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