Abstract Nonparametric and machine learning methods are flexible for obtaining accurate predictions. Nowadays, data sets with a large number of predictors complex structures fairly common. In the presence item nonresponse, nonparametric procedures may thus provide useful alternative to traditional imputation deriving set imputed values used next estimation study parameters defined as solution p...

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The goal of this research is to study how individual learning interacts with an evolutionary algorithm in its search for good candidates for the Busy Beaver problem. Two learning models, designed to act as local search procedures, are proposed. Experimental results show that local search methods that are able to perform several modifications in the structure of an individual in each learning st...