Beielstein, ThomasMarkon, Sandor2004-12-072004-12-0720012002-04-08http://hdl.handle.net/2003/541710.17877/DE290R-15303Threshold 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.enUniversität DortmundReihe Computational Intelligence ; 121004report