An Adaptive Response Surface Method Combined with (1+λ) Evolution Algorithm and its Application to Optimal Design of Electromagnetic Devices

机译：一种自适应响应面方法与（1 +λ）进化算法结合及其在电磁装置最优设计中的应用

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This paper presents a global optimization algorithm combining an adaptive response surface approximation of the objective function and (1+λ) evolution algorithm. In the adaptive approximation, an optimal Latin hypercube sampling strategy based on multi-objective Pareto optimization is developed to obtain the sampling data in the design variable space, and multiquadric radial basis function is employed to construct the response surface. The proposed method is tested and applied to the optimal design of permanent magnet linear synchronous motors.

机译：本文介绍了一种全局优化算法，其组合目标函数的自适应响应表面近似值和（1 +λ）进化算法。在自适应逼近中，开发了一种基于多目标帕罗曲面优化的最佳拉丁超立体采样策略，以获得设计变量中的采样数据，采用多功课径向基函数来构造响应面。该方法经过测试并应用于永磁线性同步电动机的最佳设计。

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《IEEE Conference on Industrial Electronics and Applications》|2010年||共5页
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Yanli Zhang; Houjian He; Chang Seop Koh;
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中图分类 TN-53;
关键词
Central composite design; Evolution algorithm; Latin hybercube design; Pareto-optimization; Response surface method;

机译：中央复合设计;进化算法;拉丁式雪尔丝布设计;帕矛 - 优化;响应面法;

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4. An adaptive response surface method combined with (1+λ) evolution algorithm and its application to optimal design of electromagnetic devices [C] . Yanli Zhang, Houjian He, Chang Seop Koh 2010 the 5th IEEE Conference on Industrial Electronics and Applications . 2010

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机译：自适应响应曲面法的电磁器件稳健和计算上有效的优化设计算法

An Adaptive Response Surface Method Combined with (1+λ) Evolution Algorithm and its Application to Optimal Design of Electromagnetic Devices

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