Performance Comparison Between Gray Coded and Binary Coded Genetic Algorithms for Inverse Shape Optimization of Magnetic Devicec

Yokose, Yoshio and Cingoski, Vlatko and Kaneda, Kazufumi and Yamashita, Hideo (1998) Performance Comparison Between Gray Coded and Binary Coded Genetic Algorithms for Inverse Shape Optimization of Magnetic Devicec. Applied Electromagnetics and Computational Technology, Proceeding of 1st Japanese-Bulgarian-Macedonian Joint Seminar. pp. 115-121. ISSN 1383-7281

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Abstract

Genetic Algorithms (GAS) work with coded information rather than directly with the physical values of the optimized variables, therefore, they are very robust and easy applicable as searching and optimization tools. The coding method, however, is usually not general and mainly depends of the analysis problem. In this paper, we show that the coding method has additionally large influence on the computation speed and the accuracy of the obtained results. We present a comparison between Gray coded and binary coded GAs for inverse shape optimization of a rotating machine pole face. We show that the Gray coded GA is better suited for inverse optimization and could provide more accurate results for shorter computation time.

Item Type: Article
Subjects: Engineering and Technology > Electrical engineering, electronic engineering, information engineering
Engineering and Technology > Other engineering and technologies
Divisions: Faculty of Electrical Engineering
Depositing User: Marija Kalejska
Date Deposited: 18 Dec 2012 09:58
Last Modified: 18 Dec 2012 09:58
URI: http://eprints.ugd.edu.mk/id/eprint/3923

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