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

被引：0
|
作者：
Zhang, Yanli [1 ]
He, Houjian [1 ]
Koh, Chang Seop [1 ]
机构：
[1] Shenyang Univ Technol, Sch Elect Engn, Shenyang, Peoples R China
来源：
ICIEA 2010: PROCEEDINGS OF THE 5TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOL 4 | 2010年
关键词：
central composite design; evolution algorithm; Latin hybercube design; Pareto-optimization; response surface method; RADIAL BASIS FUNCTION; OPTIMIZATION; INTERPOLATION; MODELS;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper presents a global optimization algorithm combining an adaptive response surface approximation of the objective function and (1+lambda) 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.
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页码：489 / +
页数：2
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