DocumentCode
1177552
Title
Application of Support Vector Machines to Accelerate the Solution Speed of Metaheuristic Algorithms
Author
Yang, Shiyou ; Liu, Qing H. ; Lu, Junwei ; Ho, S.L. ; Ni, Guangzheng ; Ni, Peihong ; Xiong, Suming
Author_Institution
Coll. of Electr. Eng., Zhejiang Univ., Hangzhou
Volume
45
Issue
3
fYear
2009
fDate
3/1/2009 12:00:00 AM
Firstpage
1502
Lastpage
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 epsiv-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
electromagnetic devices; inverse problems; optimisation; regression analysis; response surface methodology; support vector machines; SVM regression model; electromagnetic devices; epsiv-insensitive loss function; global optimization; inverse problems; metaheuristic algorithm; response surface model; support vector machine; Inverse problem; metaheuristic algorithm; response surface model; support vector machine (SVM);
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/TMAG.2009.2012690
Filename
4787455
Link To Document