A Global Optimization Algorithm for Electromagnetic Devices by Combining Adaptive Taylor Kriging and Particle Swarm Optimization

作者：Xia Bin; Minh Trien Pham; Zhang Yanli; Koh Chang Seop^*

来源：IEEE Transactions on Magnetics, 2013, 49(5): 2061-2064.

DOI：10.1109/TMAG.2013.2238907

• Adaptive Taylor Kriging
• maximum likelihood estimation
• particle swarm optimization
• TEAM problem 22

This paper presents an efficient optimization strategy which employs adaptive Taylor Kriging and Particle Swarm Optimization (PSO). In this method, the objective function of electromagnetic problem is interpolated by using adaptive Taylor Kriging, in which the covariance parameter is obtained by Maximum Likelihood Estimation (MLE). And then, PSO is used to search for optimal solutions of electromagnetic problem. The proposed algorithm is verified its validity by analytic functions and TEAM (Testing of Electromagnetic Analysis Method) problem 22.

• 出版日期2013-5
• 单位沈阳工业大学