By Topic

Controlling Convergence of Space-Mapping Algorithms for Engineering 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

2 Author(s)
Slawomir Koziel ; Senior Member, IEEE, Simultation Optimization Systems Research Laboratory, Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada L8S 4K1. e-mail: ; John W. Bandler

The problem of convergence properties of space mapping optimization algorithms is addressed. A new weighting scheme in the parameter extraction procedure is introduced that allows us to control the behavior of the space mapping algorithm and force it to converge after a reasonable number of fine model evaluations. An application example is provided.

Published in:

2007 International Symposium on Signals, Systems and Electronics

Date of Conference:

July 30 2007-Aug. 2 2007