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, Siu-lau
Yang, Shiyou
Ni, Guangzheng
Wong, Ho-ching Chris
Subjects: 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.
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.
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Type: Journal/Magazine Article
URI: http://hdl.handle.net/10397/893
DOI: 10.1109/TMAG.2006.871429
ISSN: 0018-9464
Appears in Collections:EE Journal/Magazine Articles
IC Journal/Magazine Articles

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