Cart (Loading....) | Create Account
Close category search window

An evolutionary computation approach for time-harmonic field problems involving nonlinear magnetic media

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Adly, A.A. ; Electrical Power and Machines Department, Faculty of Engineering, Cairo University, Giza 12211, Egypt ; Abd-El-Hafiz, S.K.

Your organization might have access to this article on the publisher's site. To check, click on this link: 

Recently, the particle swarm optimization evolutionary approach has been successfully utilized in field computation for devices involving nonlinear magnetic media. The purpose of this paper is to extend the aforementioned approach toward the solution of time-harmonic field problems. More specifically, unknown time-step vector magnetic potentials leading to the minimization of the energy functional are computed in an evolutionary mechanism to determine instantaneous field components. The proposed approach has been implemented and utilized for different supply frequencies, field amplitudes, and media characteristics. Details of the approach as well as comparisons with finite-element computations demonstrating the accuracy of the approach are given in the paper.

Published in:

Journal of Applied Physics  (Volume:109 ,  Issue: 7 )

Date of Publication:

Apr 2011

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.