Inverse Shape Optimization Using Dynamically Adjustable Genetic Algorithms

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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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
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

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