relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2491/
title: A Global Optimization Algorithm for Electromagnetic Devices by Combining Adaptive Taylor Kriging and Particle Swarm Optimization
creator: Xia, Bin
creator: Pham, Minh Trien
creator: Zhang, Y.
creator: Koh, Chang Seop
subject: Electronics and Communications
subject: Electronics and Computer Engineering
subject: ISI-indexed journals
description: Abstract:    This paper presents an efficient optimization strategy which employs adaptive Taylor Kriging and Particle Swarm Optimization (PSO). In this method, the objective function of electromagnetic problem is interpolated by using adaptive Taylor Kriging, in which the covariance parameter is obtained by Maximum Likelihood Estimation (MLE). And then, PSO is used to search for optimal solutions of electromagnetic problem. The proposed algorithm is verified its validity by analytic functions and TEAM (Testing of Electromagnetic Analysis Method) problem 22.
publisher: IEEE
date: 2013-05
type: Article
type: PeerReviewed
identifier:   Xia, Bin and Pham, Minh Trien and Zhang, Y. and Koh, Chang Seop  (2013) A Global Optimization Algorithm for Electromagnetic Devices by Combining Adaptive Taylor Kriging and Particle Swarm Optimization.  IEEE Transactions on Magnetics, 49  (5).   pp. 2061-2064.  ISSN 0018-9464