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
Full text not available from this repository.Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled 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 |
| Subjects: | Electronics and Communications Electronics and Communications > Electronics and Computer Engineering ISI-indexed journals |
| Divisions: | Faculty of Electronics and Telecommunications (FET) |
| Depositing User: | Dr Minh Trien Pham |
| Date Deposited: | 12 Jun 2017 04:03 |
| Last Modified: | 12 Jun 2017 04:04 |
| URI: | http://eprints.uet.vnu.edu.vn/eprints/id/eprint/2491 |
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