By Topic

A self-adaptive niching genetic algorithm for multimodal optimization of electromagnetic devices

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

2 Author(s)
E. Dilettoso ; Dipt. di Ingegneria Elettrica Elettronica, Universita degli Studi di Catania, Italy ; N. Salerno

A new niching genetic algorithm (NGA) called self-adaptive NGA (SANGA) is proposed. The main innovation is that the niche radius is estimated as an additional variable of the optimization problem and is not assigned a priori, as is usually done in other standard NGAs. SANGA, coupled with the deterministic pattern search method, forms a hybrid optimization method which works well in the optimization of multimodal functions and in the design of electromagnetic devices

Published in:

IEEE Transactions on Magnetics  (Volume:42 ,  Issue: 4 )