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.mojozers.shop/product-category/sex-doll/