Threshold Selection, Hypothesis Tests, and DOE Methods
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Date
2002-04-08
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Universität Dortmund
Abstract
Threshold selection - a selection mechanism for noisy evolutionary algorithms - is put into the broader context of hypothesis testing. Theoretical results are presented and applied to a simple model of stochastic search and to a simplified elevator simulator. Design of experiments methods are used to validate the significance of the results.