Application of Support Vector Machines to Accelerate the Solution Speed of Metaheuristic Algorithms

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Author(s)
Yang, Shiyou
H. Liu, Qing
Lu, Junwei
o, S.
Ni, Guangzheng
Ni, Peihong
Xiong, Suming
Griffith University Author(s)
Year published
2009
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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.
Journal Title
IEEE Transactions on Magnetics
Volume
45
Issue
3
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© 2009 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.
Subject
Electrical and Electronic Engineering not elsewhere classified
Physical Sciences
Engineering
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