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

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Title Application of Support Vector Machines to Accelerate the Solution Speed of Metaheuristic Algorithms
Author Yang, Shiyou; Liu, Qing H.; Lu, Junwei
Publication Title Proceedings of IEEE CEFC2008, International Conference on Electromagnetic Field Computation
Editor J. A. Tegopoulos
Year Published 2008
Place of publication USA
Publisher IEEE
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.
Peer Reviewed No
Published Yes
Publisher URI http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=20
Alternative URI http://dx.doi.org/10.1109/TMAG.2009.2012690
Copyright Statement Copyright 2008 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.
Conference name IEEE CEFC2008, International Conference on Electromagnetic Field Computation
Location Athens
Date From 2008-05-11
Date To 2008-05-15
URI http://hdl.handle.net/10072/24286
Date Accessioned 2009-02-13
Date Available 2009-06-16T06:40:55Z
Language en_AU
Research Centre Queensland Micro and Nanotechnology Centre
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Power and Energy Systems Engineering (excl Renewable Power)
Publication Type Conference Publications (Extract Paper)
Publication Type Code e3

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