Graph modelling for tracking the COVID-19 pandemic spread

The modelling is widely used in determining the best strategies for the mitigation of the impact of infectious diseases.Currently, the modelling of a complex system such as the spread of COVID-19 infection is among the topical issues.The aim of this article is graph-based modelling of the COVID-19 infection spread.The article investigates the studi

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An Adaptive Parallel EI Infilling Strategy Extended by Non-Parametric PMC Sampling Scheme for Efficient Global Optimization

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 Sunglasses the first stage and converge to sub-domains of high EI values t

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