By Topic

Niching genetic algorithm with restricted competition selection for multimodal function optimization

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

3 Author(s)
Cheol-Gyun Lee ; Dept. of Electr. Eng., Dong-Eui Univ., South Korea ; Dong-Hyeok Cho ; Hyun-Kyo Jung

The niching method enables the genetic algorithm to be applied to the problems that require the location of multiple solutions in the search space. In this paper, a new niching method using restricted competition selection (RCS) is proposed to identify and search multiple niches (peaks) efficiently in a multimodal domain. To verify its validity, the proposed method is applied to some traditional mathematical problems and an induction motor design

Published in:

IEEE Transactions on Magnetics  (Volume:35 ,  Issue: 3 )