提高换位性能

Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406) Pub Date : 1999-07-06 DOI:10.1109/CEC.1999.782651

A. Simoes, E. Costa

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引用次数: 15

摘要

转置是一种新的遗传算子，可以替代交叉，使经典遗传算法获得更好的结果。这种以移动遗传单位存在为特征的机制必须与正确的参数一起使用，以使遗传算法的性能最大化。本文给出了一项实证研究的结果，该结果提供了选择适当的参数设置以用于换位的主要指导方针，这将导致遗传算法获得最佳解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Enhancing transposition performance

Transposition is a new genetic operator alternative to crossover and allows a classical GA to achieve better results. This mechanism characterized by the presence of mobile genetic units must be used with the right parameters to enable maximum performance to the GA. The paper presents the results of an empirical study which offers the main guidelines to choose the proper setting of parameters to use with transposition, which will lead the GA to the best solutions.

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Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406)

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