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http://hdl.handle.net/10397/893
| Title: | A fast global optimizer based on improved CS-RBF and stochastic optimal algorithm | Authors: | Ho, SL Yang, S Ni, G Wong, HCC |
Issue Date: | Apr-2006 | Source: | IEEE transactions on magnetics, Apr. 2006, v. 42, no. 4, p. 1175-1178 | Abstract: | An improved compactly supported radial basis function is proposed as a response surface model in the study of computationally heavy design problems. A new interpolation formula is introduced to enhance the interpolation accuracy on boundary derivatives and the proposed response surface model is then combined with stochastic algorithms in the design of a fast global optimizer. Numerical results are reported to demonstrate the generality and the robustness of the proposed works. | Keywords: | Compact support Global optimization Inverse problem Radial basis function Response surface model |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE transactions on magnetics | ISSN: | 0018-9464 | EISSN: | 1941-0069 | DOI: | 10.1109/TMAG.2006.871429 | Rights: | © 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
| Appears in Collections: | Journal/Magazine Article |
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| stochastic-optimal_06.pdf | 199.84 kB | Adobe PDF | View/Open |
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