Authors: Beielstein, Thomas
Markon, Sandor
Title: Threshold Selection, Hypothesis Tests, and DOE Methods
Language (ISO): en
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.
Issue Date: 2002-04-08
Provenance: Universität Dortmund
Appears in Collections:Sonderforschungsbereich (SFB) 531

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