Surrogate CMA-ES (S-CMA-ES and DTS-CMA-ES) is a surrogate-based optimizing evolution strategy. It is based on the N. Hansen's CMA-ES algorithm which is interconnected with Gaussian processes (or random forests, that are, however, not maintained here anymore).
☆22Feb 9, 2022Updated 4 years ago
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