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
fDate :
3/1/2009 12:00:00 AM
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);
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2009.2012690
