Shape Optimization of Magnetic Devices Using Genetic Algorithms with Dynamically Adjustable Parameters

Yokose, Yoshio and Cingoski, Vlatko and Kaneda, Kazufumi and Yamashita, Hideo (1999) Shape Optimization of Magnetic Devices Using Genetic Algorithms with Dynamically Adjustable Parameters. IEEE Transactions on magnetics, 35 (3). pp. 1686-1689.

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Abstract

An improved method for inverse shape optimization of magnetic devices using the Genetic Algorithms(GAs) with dynamically adjustable parameters is presented. The proposed method starts from an initial population using large number of bits per chromosome enabling searching for the optimal solution in a wider region without aggravating the computational speed.

Item Type: Article
Uncontrolled Keywords: Genetic algorithms, optimization methods, finite element methods, magnetic materials/devices, magnetization processes
Subjects: Engineering and Technology > Electrical engineering, electronic engineering, information engineering
Divisions: Faculty of Electrical Engineering
Depositing User: Vlatko Cingoski
Date Deposited: 17 Dec 2012 07:21
Last Modified: 18 Jun 2013 10:37
URI: http://eprints.ugd.edu.mk/id/eprint/3646

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