A Global Optimization Algorithm for Electromagnetic Devices by Combining Adaptive Taylor Kriging and Particle Swarm Optimization

Author

Bin Xia ; Minh-Trien Pham ; Yanli Zhang ; Chang-Seop Koh

Author_Institution

Coll. of ECE, Chungbuk Nat. Univ., Cheongju, South Korea

Volume

49

Issue

5

fYear

2013

fDate

May-13

Firstpage

2061

Lastpage

2064

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.

Keywords

covariance analysis; electromagnetic devices; electromagnetic fields; maximum likelihood estimation; particle swarm optimisation; MLE; PSO; adaptive Taylor Kriging; analytic functions; covariance parameter; electromagnetic analysis; electromagnetic devices; electromagnetic problem; global optimization; maximum likelihood estimation; particle swarm optimization; Adaptive Taylor Kriging; TEAM problem 22; maximum likelihood estimation; particle swarm optimization;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2013.2238907

Filename

6514641