SIGN IN
SIGN UP
Learning classifier systems for optimisation problems: a case study on fractal travelling salesman problem
Full Text:
PDF
Buy this Article
Authors:
Maximiliano Tabacman
Universidad de Buenos Aires, Buenos Aires, Argentina
Natalio Krasnogor
University of Nottingham, Nottingham, United Kngdm
Jaume Bacardit
University of Nottingham, Nottingham, United Kngdm
Irene Loiseau
Universidad de Buenos Aires, Buenos Aires, Argentina
2008 Article
Demonstration
Bibliometrics
· Downloads (6 Weeks): 1
· Downloads (12 Months): 20
· Citation Count: 0
Published in:
· Proceeding
GECCO '08
Proceedings of the 2008 GECCO conference companion on Genetic and evolutionary computation
ACM
New York, NY
, USA
©2008
table of contents
ISBN: 978-1-60558-131-6
doi>
10.1145/1388969.1389018
Tools and Resources
Buy this Article
TOC Service:
Email
RSS
Save to Binder
Export Formats:
BibTeX
EndNote
ACM Ref
Upcoming Conference:
GECCO '12
Share:
|
Tags:
algorithms
concept learning
experimentation
induction
learning-classifier-systems
machine learning
optimization
performance
traveling-salesman-problem
Feedback
|
Switch to
single page view
(no tabs)
**Javascript is not enabled and is required for the "tabbed view" or switch to the
single page view
**
Powered by
The ACM Guide to Computing Literature
All Tags
Export Formats
Save to Binder