Circularity Error Evaluation Based on Differential Evolution Algorithm

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Abstract:

An algorithm based on the differential evolutionary (DE) computation is proposed to evaluate circularity error. It is a heuristic evolutionary algorithm based on population optimization .In the meantime, the suggested method is used to solve the minimum zone circularity error. Compared with other methods, the results show the presented method has very strong self-adaptive ability to environment and better global convergence. Examples proves that the proposed method is effective, convergence and robustness in the process of optimization. And this method makes the circularity error evaluation more accurate.

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416-421

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December 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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