Inverse shape optimization using dynamically adjustable genetic algorithms [electric machine design]

Cingoski V.; Kaneda K.

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Inverse shape optimization using dynamically adjustable genetic algorithms [electric machine design]

机译：使用动态可调遗传算法的逆形状优化[电机设计]

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In this paper, a new dynamically adjustable genetic algorithm for inverse shape optimization of electrical devices is proposed. The algorithm starts with initial population which is not entirely randomly defined and dynamically changes the position and the width of the searching space as the searching procedure evolves with time and the objective function approaches its optimum. The proposed algorithm is successfully applied for inverse shape optimization of a die mold press machine and for pole shape optimization of a rotating machine. To achieve a smooth pole face, the optimized shape is defined using several control points and ordinary spline functions.

机译：本文提出了一种新的动态可调遗传算法，用于电气设备的逆形状优化。该算法从初始填充开始，该初始填充不是完全随机定义的，并且随着搜索过程随时间的发展和目标函数趋于其最佳而动态地改变搜索空间的位置和宽度。所提出的算法已成功地应用于模压机的逆形状优化和旋转机的极点形状优化。为了获得平滑的极面，可使用多个控制点和普通样条函数定义最佳形状。

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《IEEE Transactions on Energy Conversion》 |1999年第3期|P.661-666|共6页
作者
Cingoski V.; Kaneda K.;
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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类电能学;能源与动力工程;
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4. Inverse shape optimization of a pole face of rotating machines using dynamically adjustable genetic algorithms [C] . Cingoski, V., Kowata, . 1997

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Inverse shape optimization using dynamically adjustable genetic algorithms [electric machine design]

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