Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11337
Title: Application of support vector machines to accelerate the solution speed of metaheuristic algorithms
Authors: Yang, S
Liu, QH
Lu, J
Ho, SL 
Ni, G
Ni, P
Xiong, S
Issue Date: 2009
Source: IEEE transactions on magnetics, 2009, v. 45, no. 3, 4787455, p. 1502-1505
Abstract: The support vector machine (SVM) is proposed as a response surface model to accelerate the solution speed of metaheuristic algorithms in solving inverse problems. The detail formulations of the SVM regression model using $\varepsilon$-insensitive loss function are derived. Primary numerical results are reported to demonstrate the feasibility, performance, and robustness of the proposed SVM based response surface model for solving both mathematical functions and engineering design problems.
Keywords: Inverse problem
Metaheuristic algorithm
Response surface model
Support vector machine (SVM)
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE transactions on magnetics 
ISSN: 0018-9464
EISSN: 1941-0069
DOI: 10.1109/TMAG.2009.2012690
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