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|Title: ||A response surface methodology based on improved compactly supported radial basis function and its application to rapid optimizations of electromagnetic devices|
|Authors: ||Ho, Siu-lau|
Wong, Ho-ching Chris
|Subjects: ||Compact support|
Radial basis function
Response surface methodology
|Issue Date: ||Jun-2005 |
|Citation: ||IEEE transactions on magnetics, June 2005, v. 41, no. 6, p. 2111-2117.|
|Abstract: ||The compactly supported radial basis function (CS-RBF) is improved and used to design a new response surface model. The model is incorporated into stochastic global optimal methods to develop a fast and efficient global optimal design strategy with the main target to reduce the number of function calls that involve computationally heavy procedures such as, for example, the repetitive usage of finite element analysis which is generally required in solving inverse problems. In order to employ a multistep method to automatically adjust the support of the CS-RBF to realize the "best" tradeoff between computational efficiency and accuracy, a cluster algorithm is proposed to decompose the sample points into a nested sequence of subsets. To validate the proposed algorithm, typical numerical results on two different examples are reported.|
|Rights: ||© 2005 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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|Type: ||Journal/Magazine Article|
|Appears in Collections:||EE Journal/Magazine Articles|
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