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Developments of an efficient global optimal design technique – a combined approach of MLS and SA algorithm

S.L. Ho (EE Department, The Hong Kong Polytechnic University, Hong Kong)
Shiyou Yang (EE Department, The Hong Kong Polytechnic University, Zhejiang University, China)
Peihong Ni (EE College, Zhejiang University, China)
H.C. Wong (Industrial Center, The Hong Kong Polytechnic University, Hong Kong)

Abstract

A new response surface model (RSM), the moving least squares (MLS) approximation, is proposed for reconstructing the objective/constraint functions for the design optimization of electromagnetic devices. The reconstructed functions are then combined with the simulated annealing (SA) algorithm to develop a computationally efficient technique to obtain the global solutions. The new method has: the “intelligence” to arrange the sample points, i.e. intensify the sample points in regions where a local optimum is likely to exist; the flexibility in dealing with irregular sample points; the self‐adaptive ability to regulate the parameters of the MLS models. Detailed numerical examples are given to validate the proposed technique.

Keywords

Citation

Ho, S.L., Yang, S., Ni, P. and Wong, H.C. (2002), "Developments of an efficient global optimal design technique – a combined approach of MLS and SA algorithm", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 21 No. 4, pp. 605-615. https://doi.org/10.1108/03321640210437851

Publisher

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MCB UP Ltd

Copyright © 2002, MCB UP Limited