Close category search window
 

On the relative efficacies of space saving *CGAs for evolvable hardware applications

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 $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)
Vigraham, S.A. ; Dept. of Comput. Sci. & Eng., Wright State Univ., Dayton, OH, USA ; Gallagher, J.C.

This work compares the relative efficacies of two simulated population space-saving compact genetic algorithm (CGA) variants against a realistic EH control problem. Comparisons are made between the variants and between them and no population and true population versions of the algorithm. A clearly superior algorithm for this application is designated and implications for other EH efforts are considered.

Published in:
Evolutionary Computation, 2004. CEC2004. Congress on  (Volume:2 )

Date of Conference: 19-23 June 2004

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 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.