Title :
An adaptive response surface method combined with (1+λ) evolution algorithm and its application to optimal design of electromagnetic devices
Author :
Zhang, Yanli ; He, Houjian ; Koh, Chang Seop
Author_Institution :
Sch. of Electr. Eng., Shenyang Univ. of Technol., Shenyang, China
Abstract :
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.
Keywords :
Pareto optimisation; design engineering; electromagnetic devices; response surface methodology; (1+λ) evolution algorithm; adaptive approximation; adaptive response surface approximation; adaptive response surface method; design variable space; electromagnetic devices; global optimization; multiobjective Pareto optimization; multiquadric radial basis function; objective function; optimal Latin hypercube sampling strategy; optimal design; permanent magnet linear synchronous motors; Algorithm design and analysis; Approximation algorithms; Electromagnetic devices; Finite element methods; Hypercubes; Interpolation; Response surface methodology; Sampling methods; Shape; Synchronous motors; Latin hybercube design; Pareto-optimization; central composite design; evolution algorithm; response surface method;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2010 the 5th IEEE Conference on
Conference_Location :
Taichung
Print_ISBN :
978-1-4244-5045-9
Electronic_ISBN :
978-1-4244-5046-6
DOI :
10.1109/ICIEA.2010.5515906
