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

Fitness landscape analysis for evolutionary non-photorealistic rendering

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)
Riley, J. ; Hewlett-Packard Australia, Melbourne, VIC, Australia ; Ciesielski, V.

The best evolutionary approach can be a difficult problem. In this work we have investigated two evolutionary representations to evolve non-photorealistic renderings: a variable-length classic genetic algorithm representation, and a tree-based genetic algorithm representation. These representations exhibit very different convergence behaviour, and despite considerable exploration of parameters the classic genetic algorithm was not competitive with the tree-based approach for the problem studied in this work. The aim of the work presented in this paper was to investigate whether analysis of the fitness landscapes described by the different representations can explain the difference in performance. We used several current fitness landscape measures to analyse the fitness landscapes, and found that one of the measures suggests there is a correlation between search performance and the fitness landscape.

Published in:

Evolutionary Computation (CEC), 2010 IEEE Congress on

Date of Conference:

18-23 July 2010

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.