Cingoski, Vlatko and Kaneda, Kazufumi and Yamashita, Hideo (1997) Inverse Shape Optimization Using Dynamically Adjustable Genetic Algorithms. IEEE Electric Machinery Committee. pp. 1-6.
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Abstract
In this paper, a new dynamically adjustable genetic algorithm for inverse shape optimization of electrical devices is proposed. The algorithm starts with initial population which is not entirely randomly defined and dynamically changes the position and the width of the searching space as the searching procedure evolves with time and the objective function approaches its optimum.
Item Type: | Article |
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Uncontrolled Keywords: | inverse optimization genetic algorithm, rotation machines, design of pole face, die mold, spline functions |
Subjects: | Engineering and Technology > Electrical engineering, electronic engineering, information engineering |
Divisions: | Faculty of Electrical Engineering |
Depositing User: | Vlatko Cingoski |
Date Deposited: | 17 Dec 2012 11:29 |
Last Modified: | 18 Jun 2013 10:44 |
URI: | https://eprints.ugd.edu.mk/id/eprint/3778 |
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