Title :
A computationally efficient optimal design algorithm of electromagnetic devices using adaptive response surface method
Author :
Zhang, Yanli ; Xie, Dexin ; Bai, Baodong ; Koh, Chang Seop
Author_Institution :
Sch. of Electr. Eng., Shenyang Univ. of Technol., Shenyang
Abstract :
A global optimization algorithm combining an adaptive response surface approximation of the objective function and experiment design strategy is presented. 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 algorithm is applied to an analytic example and TEAM problem 22, and its robustness and computational efficiency are investigated.
Keywords :
Pareto optimisation; approximation theory; design of experiments; electrical engineering computing; electromagnetic devices; radial basis function networks; response surface methodology; sampling methods; adaptive response surface approximation; electromagnetic devices; global optimization; multiobjective Pareto optimization; multiquadric radial basis function; optimal Latin hypercube sampling strategy; Algorithm design and analysis; Approximation algorithms; Computational efficiency; Design optimization; Electromagnetic devices; Hypercubes; Pareto optimization; Response surface methodology; Robustness; Sampling methods;
Conference_Titel :
Automation Congress, 2008. WAC 2008. World
Conference_Location :
Hawaii, HI
Print_ISBN :
978-1-889335-38-4
Electronic_ISBN :
978-1-889335-37-7
