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- W1947179618 abstract "Threshold selection-a selection mechanism for noisy evolutionary algorithms-is put into the broader context of hypothesis testing. Optimal selection thresholds were derived theoretically. These theoretical results were used to find threshold values for a simple model of stochastic search and for a simplified elevator simulator. Design of experiments methods are used to validate the significance of the results." @default.
- W1947179618 created "2016-06-24" @default.
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- W1947179618 date "2003-06-25" @default.
- W1947179618 modified "2023-09-25" @default.
- W1947179618 title "Threshold selection, hypothesis tests, and DOE methods" @default.
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- W1947179618 doi "https://doi.org/10.1109/cec.2002.1007024" @default.
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