SIGN IN
SIGN UP
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
Full Text:
PDF
Buy this Article
Authors:
Antonio LaTorre
Universidad Politécnica de Madrid, Madrid, Spain
José M. Peña
Universidad Politécnica de Madrid, Madrid, Spain
Victor Robles
Universidad Politécnica de Madrid, Madrid, Spain
Santiago Muelas
Universidad Politécnica de Madrid, Madrid, Spain
2008 Article
Poster
Bibliometrics
· Downloads (6 Weeks): 1
· Downloads (12 Months): 21
· Citation Count: 2
Published in:
· Proceeding
GECCO '08
Proceedings of the 10th annual conference on Genetic and evolutionary computation
ACM
New York, NY
, USA
©2008
table of contents
ISBN: 978-1-60558-130-9
doi>
10.1145/1389095.1389307
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
experimentation
genetic algorithms
heuristic methods
hybrid evolutionary methods
miscellaneous
multiple offspring sampling
permutation problems
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