Abstract
In this paper, we analyze the most prominent features m model selection criteria that have been used so far m iterated density estimation evolutionary algorithms (IDEAs, EDAs, PMBGAs) These algorithms build probabilistic models and estimate probability densities based upon a selection of available points We show that the negative log
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