阈值选择、假设检验和DOE方法

Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600) Pub Date : 2002-05-12 DOI:10.1109/CEC.2002.1007024

T. Bartz-Beielstein, S. Markon

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引用次数: 53

摘要

阈值选择——噪声进化算法的一种选择机制——被置于假设检验的更广泛的背景下。从理论上推导出最优选择阈值。这些理论结果被用于寻找一个简单的随机搜索模型和一个简化的电梯模拟器的阈值。设计了实验方法，验证了实验结果的意义。

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Threshold selection, hypothesis tests, and DOE methods

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.

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Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)

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