By Topic

Designing Electronic Circuits by Means of Gene Expression Programming

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

5 Author(s)
Xue-song Yan ; Dept. of Comput. Sci. & Technol., Univ. of Geosciences ; Wei Wei ; Rui Liu ; San-you Zeng
more authors

This work investigates the application of gene expression programming (GEP) in the field of evolutionary electronics. GEP is a genetic algorithm as it uses populations of individuals, selects them according to fitness, and introduces genetic variation using one or more genetic operators. We propose the new means for designing electronic circuits and introduce the encoding of the circuit as a chromosome, the genetic operators and the fitness function. For the case studies this means has proved to be efficient, experiments show that we have better results

Published in:

Adaptive Hardware and Systems, 2006. AHS 2006. First NASA/ESA Conference on

Date of Conference:

15-18 June 2006