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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gang Lei Shao, K.R. Youguang Guo Jianguo Zhu Lavers, J.D. |
| Copyright Year | 1965 |
| Abstract | Three sequential optimization methods, sequential least square method, sequential Kriging method, and sequential linear Bayesian method, are presented for the optimization design of electromagnetic device. Sequential optimization method (SOM) is composed of coarse optimization process and fine optimization process. The main purpose of the former is to reduce the design space; while the target of the latter is to update the optimal design parameters. To illustrate the performance of the proposed methods, an analytic test function and the TEAM Workshop Problem 22 are investigated. Experimental results of test function demonstrate that SOM can obtain satisfactory solutions; and practical application illustrates that the number of finite element sample points is less than 1/10 compared with that by direct optimization method, while the optimal results are even better than that by direct optimization method. |
| Sponsorship | IEEE Magnetics Society |
| Starting Page | 3217 |
| Ending Page | 3220 |
| Page Count | 4 |
| File Size | 485756 |
| File Format | |
| ISSN | 00189464 |
| Volume Number | 44 |
| Issue Number | 11 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-11-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Optimization methods Design methodology Electromagnetic devices Least squares approximation Parameter estimation Bayesian methods Design engineering Least squares methods Design optimization Testing sequential optimization method (SOM) Kriging linear Bayesian estimation (LBE) response surface model |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electronic, Optical and Magnetic Materials Electrical and Electronic Engineering |
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