This paper presents a novel adaptive parallel Expected Improvement (EI) infilling strategy for Efficient Global Optimization (EGO) by introducing a two-staged Non-parametric Population Monte Carlo Sampling (NPMS) scheme. The samples are uniformly generated from EI function in the first stage and converge to sub-domains of high EI values thresholded by a non-parametric sampling selecti... https://www.wearepots.com/product-category/womens-accessories/
An Adaptive Parallel EI Infilling Strategy Extended by Non-Parametric PMC Sampling Scheme for Efficient Global Optimization
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