Sequential Experiment Design for Contour Estimation From Complex Computer Codes
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Cites methods from "Sequential Experiment Design for Co..."
...Inspired by the contour estimation work in [28], this expectation can be calculated in a similar fashion as Eq....
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Cites methods from "Sequential Experiment Design for Co..."
...Inspired by EGO [19] and the Kriging contour estimation method [25], EGRA [5] (Efficient Global Reliability Analysis) is based on a learning function called the Expected Feasibility Function (EFF) which provides an indication of how well the true value of the performance function in a sample can be expected to satisfy the constraint HðuÞ 1⁄4 0....
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...AK-MCS differs in two ways with the other Kriging-based reliability methods from the literature [5,25] which use an optimisation method to search for the best next sample....
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...Various refinement techniques have been proposed in the kriging-related literature, e.g. for global optimization (Jones et al., 1998) or for probability/quantile estimation (Oakley, 2004; Bichon et al., 2008; Lee and Jung, 2008; Ranjan et al., 2008; Vazquez and Bect, 2009; Picheny et al., 2010)....
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...for global optimization (Jones et al. 1998) or for probability/quantile estimation (Oakley 2004; Bichon et al. 2008; Lee and Jung 2008; Ranjan et al. 2008; Vazquez and Bect 2009; Picheny et al. 2010)....
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References
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"Sequential Experiment Design for Co..." refers methods in this paper
...To identify the starting points for the optimization routines, a genetic algorithm is used (e.g., Holland 1975; Mandal, Wu, and Johnson 2006) with the following specifications: • Initial population....
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...The Matlab Optimization Toolbox function fmincon, on the other hand, attempts to find a constrained optimum using a sequential quadratic programming method (Schittkowski 1985; Fletcher 1987)....
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