Application of support vector machines to accelerate the solution speed of metaheuristic algorithms

Shiyou Yang; Qing H. Liu; Junwei Lu; Siu Lau Ho; Guangzheng Ni; Peihong Ni; Suming Xiong

doi:10.1109/TMAG.2009.2012690

Application of support vector machines to accelerate the solution speed of metaheuristic algorithms

Shiyou Yang, Qing H. Liu, Junwei Lu, Siu Lau Ho, Guangzheng Ni, Peihong Ni, Suming Xiong

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

7 Citations (Scopus)

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.

Original language	English
Article number	4787455
Pages (from-to)	1502-1505
Number of pages	4
Journal	IEEE Transactions on Magnetics
Volume	45
Issue number	3
DOIs	https://doi.org/10.1109/TMAG.2009.2012690
Publication status	Published - 1 Mar 2009

Keywords

Inverse problem
Metaheuristic algorithm
Response surface model
Support vector machine (SVM)

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

More information

10.1109/TMAG.2009.2012690

Cite this

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AU - Ni, Peihong

AU - Xiong, Suming

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Application of support vector machines to accelerate the solution speed of metaheuristic algorithms

Abstract

Keywords

ASJC Scopus subject areas

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