Title :
A global optimization algorithm based on Support Vector Machines for electromagnetic inverse problem
Author :
An, Jinlong ; Yang, Qingxin ; Ma, Zhenping ; Hou, Likun ; Li, Jianwei ; Chen, Tanggong
Author_Institution :
Province-Minist. Joint Key Lab. Of Electromagn. Field & Electr. Apparatus Reliability, Hebei Univ. of Technol., Tianjin
Abstract :
The problems of the lower convergence speeds and the long time for solving that exist in the global optimization algorithm of the inverse electromagnetic problem solution are given. The main reasons for these problems are analyzed. A global optimization algorithm based on support vector machines of the inverse electromagnetic problem solution is presented. The numerical comparison shows that comparing with the adaptive simulated annealing algorithm, the time of solving forward electromagnetic problem is decreased greatly, so the speed of solving the inverse electromagnetic problem is improved noticeably.
Keywords :
computational electromagnetics; inverse problems; simulated annealing; support vector machines; adaptive simulated annealing algorithm; electromagnetic inverse problem; global optimization algorithm; inverse electromagnetic problem solution; support vector machines; Algorithm design and analysis; Automatic control; Design optimization; Electromagnetic fields; Inverse problems; Iterative algorithms; Optimization methods; Simulated annealing; Stochastic processes; Support vector machines;
Conference_Titel :
Automation Congress, 2008. WAC 2008. World
Conference_Location :
Hawaii, HI
Print_ISBN :
978-1-889335-38-4
Electronic_ISBN :
978-1-889335-37-7
