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

Developments of an efficient global optimal design technique – a combined approach of MLS and SA... 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering Emerald Publishing

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

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References (11)

Publisher
Emerald Publishing
Copyright
Copyright © 2002 MCB UP Ltd. All rights reserved.
ISSN
0332-1649
DOI
10.1108/03321640210437851
Publisher site
See Article on Publisher Site

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.

Journal

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering – Emerald Publishing

Published: Dec 1, 2002

Keywords: Surfaces; Model; Simulation; Algorithms; Optimization

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