Please use this identifier to cite or link to this item: 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
Keywords: Compact support
Global optimization
Inverse problem
Radial basis function
Response surface model
Issue Date: Apr-2006
Publisher: IEEE
Source: IEEE transactions on magnetics, Apr. 2006, v. 42, no. 4, p. 1175-1178 How to cite?
Journal: IEEE transactions on magnetics 
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.
URI: http://hdl.handle.net/10397/893
ISSN: 0018-9464
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.
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