Subject: Electrical engineering, electronic engineering, information engineering
Year: 2000
Type: Article
Type: PeerReviewed
Title: Genetic Algorithms with Assistant Chromosomes for Inverse Shape Optimization of Electromagnetic Devices
Author: Yokose, Yoshio
Author: Cingoski, Vlatko
Author: Yamashita, Hideo
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.
Publisher:
Relation: https://eprints.ugd.edu.mk/3792/
Identifier: oai:eprints.ugd.edu.mk:3792
Identifier: https://eprints.ugd.edu.mk/3792/1/genetic_algoritams.pdfIdentifier: 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.
