Cart (Loading....) | Create Account
Close category search window

A parallel evolutionary algorithm for high-level program induction

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

1 Author(s)
Walsh, P.J. ; Univ. Coll. Cork, Ireland

The paper discusses issues relating to the implementation of a new technique for the induction of high level programs, Functional genetic programming (FGP). The FGP system is based on the pure functional language FP, which utilises higher order functions and avoids the use of explicitly named objects, While the FGP system can produce high level solutions to a number of common programming problems involving iteration and recursion, this technique is computationally expensive. A parallel implementation that addresses this limitation is presented and it is shown that near linear speed-up can be achieved across a distributed computing environment

Published in:

Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on  (Volume:2 )

Date of Conference:


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 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.