By Topic

Cross-domain features of runs of genetic programming used to evolve designs for analog circuits, optical lens systems, controllers, antennas, mechanical systems, and quantum computing circuits

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)
J. R. Koza ; Stanford Univ., CA, USA ; S. H. Al-Sakran ; L. W. Jones

Genetic programming has now been successfully used to automatically synthesize human-competitive designs in a number of fields, including analog electrical circuits, optical lens systems, antennas, controllers, mechanical systems, and quantum computing circuits. Despite considerable variation in representation and technique, the above results share a number of common features. This paper identifies five common features and suggests possible explanations and interpretations for them. Some of these cross-domain observations clearly could not have been anticipated prior to the work being done.

Published in:

2005 NASA/DoD Conference on Evolvable Hardware (EH'05)

Date of Conference:

29 June-1 July 2005