Yield Optimization using Hybrid Gaussian Process Regression and a Genetic Multi-Objective Approach
Cited articles
Audet, C. and Hare, W.: Derivative-Free and Blackbox Optimization, Springer, Cham, Switzerland, https://doi.org/10.1007/978-3-319-68913-5, 2017. a
Babuška, I., Nobile, F., and Tempone, R.: A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data, SIAM J. Numer. Anal., 45, 1005–1034, https://doi.org/10.1137/100786356, 2007. a
Bect, J., Ginsbourger, D., Li, L., Picheny, V., and Vazquez, E.: Sequential
design of computer experiments for the estimation of a probability of
failure, Stat. Comput., 22, 773–793, 2012. a
Bect, J., Li, L., and Vazquez, E.: Bayesian Subset Simulation, SIAM/ASA J. UQ, 5, 762–786, https://doi.org/10.1137/16m1078276, 2017. a
Bellman, R.: Curse of dimensionality, Adaptive control processes: a guided
tour, Princeton University Press, Princeton, NJ, USA, 1961. a