Regression and Kriging metamodels with their experimental designs in simulation: a review
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Publication:1752155
DOI10.1016/j.ejor.2016.06.041zbMath1394.90004OpenAlexW3121339476MaRDI QIDQ1752155
Publication date: 24 May 2018
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://research.tilburguniversity.edu/en/publications/c592e895-1656-43c3-8c7e-f3530b04af9c
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Related Items (18)
Kriging-based unconstrained global optimization through multi-point sampling ⋮ A probabilistic procedure for quantifying the relative importance of model inputs characterized by second-order probability models ⋮ Sequential design strategies for mean response surface metamodeling via stochastic kriging with adaptive exploration and exploitation ⋮ Increasing the efficiency in integer simulation optimization: reducing the search space through data envelopment analysis and orthogonal arrays ⋮ Integrated parameter and tolerance design based on a multivariate Gaussian process model ⋮ Methods for constrained optimization of expensive mixed-integer multi-objective problems, with application to an internal combustion engine design problem ⋮ Stochastic simulation uncertainty analysis to accelerate flexible biomanufacturing process development ⋮ Probabilistic-learning-based stochastic surrogate model from small incomplete datasets for nonlinear dynamical systems ⋮ An improved sufficient dimension reduction-based kriging modeling method for high-dimensional evaluation-expensive problems ⋮ TRANSFORM-ANN for online optimization of complex industrial processes: casting process as case study ⋮ Polynomial-chaos-based conditional statistics for probabilistic learning with heterogeneous data applied to atomic collisions of helium on graphite substrate ⋮ Faster Kriging: Facing High-Dimensional Simulators ⋮ A unified framework for stochastic optimization ⋮ Linear programming-based directed local search for expensive multi-objective optimization problems: application to drinking water production plants ⋮ Surrogate model approach for investigating the stability of a friction-induced oscillator of Duffing's type ⋮ Efficient sequential experimental design for surrogate modeling of nested codes ⋮ Analyzing stochastic computer models: a review with opportunities ⋮ Constrained multi-objective optimization of compact microwave circuits by design triangulation and Pareto front interpolation
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Cites Work
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