By Topic

Optimal design of permanent-magnet motor using autotuning niching genetic algorithm

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
$33 $13
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

4 Author(s)
Dong-Hyeok Cho ; Sch. of Electr. Eng., Seoul Nat. Univ., South Korea ; Jae-Kwang Kim ; Hyun-Kyo Jung ; Cheol-Gyun Lee

A genetic algorithm using a niching method can be applied to a problem that requires multiple solutions in the search space. A novel niching genetic algorithm automatically tuning up the population size and niche radii is proposed. The proposed autotuning concept is embodied in a clearing method, elitism, and a deterministic method. Through application to the numerical examples and an optimal design of interior permanent-magnet synchronous motor, it is verified that the proposed method is appropriate for the design of electric machines.

Published in:

Magnetics, IEEE Transactions on  (Volume:39 ,  Issue: 3 )