Please use this identifier to cite or link to this item: http://repository.vnu.edu.vn/handle/VNU_123/26628
Title: A global optimization algorithm for electromagnetic devices by combining adaptive taylor kriging and particle swarm optimization
Authors: Xia, Bin
Pham, Minh Trien
Zhang, Yanli
Koh, Changseop
Keywords: Adaptive Taylor Kriging;Maximum likelihood estimation;Particle swarm optimization;TEAM problem 22
Issue Date: 2013
Publisher: H. : ĐHQGHN
Abstract: 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
Description: IEEE Transactions on Magnetics 49(5),6514641, pp. 2061-2064
URI: http://repository.vnu.edu.vn/handle/VNU_123/26628
Appears in Collections:Bài báo của ĐHQGHN trong Scopus

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