Application of Support Vector Machines to Accelerate the Solution Speed of Metaheuristic Algorithms
Shiyou Yang, Qing Huo Liu, Junwei Lu, S. L. Ho, Guangzheng Ni, Peihong Ni, Suming Xiong · IEEE Transactions on Magnetics · 2009
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.