Genetic Algorithms with Assistant Chromosomes for Inverse Shape Optimization of Electromagnetic Devices

Yokose, Yoshio and Cingoski, Vlatko and Yamashita, Hideo (2000) Genetic Algorithms with Assistant Chromosomes for Inverse Shape Optimization of Electromagnetic Devices. IEEE Transactions on magnetics, 36 (4). pp. 1052-1056.

[img]
Preview
Text
genetic_algoritams.pdf

Download (1901Kb) | Preview

Abstract

Stochastic searching algorithms such as the Genetic Algorithms (GA's) are commonly used for shape optimization of electromagnetic devices. Although very robust and easy applicable, the GA's are usually time consuming. In this paper, we present a new improved method for optimization of electromagnetic devices that utilizes the ordinary GA with enriched searching population of so called assistant chromosomes.

Item Type: Article
Uncontrolled Keywords: finite element method, genetic algorithms, optimization methods, magnetostatics
Subjects: Engineering and Technology > Electrical engineering, electronic engineering, information engineering
Divisions: Faculty of Electrical Engineering
Depositing User: Vlatko Cingoski
Date Deposited: 17 Dec 2012 14:48
Last Modified: 11 Jun 2013 13:20
URI: http://eprints.ugd.edu.mk/id/eprint/3792

Actions (login required)

View Item View Item