SIGN IN
SIGN UP
Noisy optimization: a theoretical strategy comparison of ES, EGS, SPSA & IF on the noisy sphere
Full Text:
PDF
Buy this Article
Authors:
Steffen Finck
Vorarlberg University of Applied Sciences, Dornbirn, Austria
Hans-Georg Beyer
Vorarlberg University of Applied Sciences, Dornbirn, Austria
Alexander Melkozerov
University of Ulm, Ulm, Germany
Published in:
· Proceeding
GECCO '11
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Pages 813-820
ACM
New York, NY
, USA
©2011
table of contents
ISBN: 978-1-4503-0557-0
doi>
10.1145/2001576.2001688
2011 Article
Bibliometrics
· Downloads (6 Weeks): 4
· Downloads (12 Months): 24
· Downloads (cumulative): 58
· Citation Count: 0
Tools and Resources
Buy this Article
Request Permissions
TOC Service:
Email
RSS
Save to Binder
Export Formats:
BibTeX
EndNote
ACM Ref
Upcoming Conference:
GECCO '13
Share:
|
Tags:
algorithms
evolution strategies
evolutionary gradient search
experimentation
implicit filtering
optimization
parameter learning
performance
performance analysis and comparison
progress rate
quality gain
simultaneous perturbation stochastic approximation
theory
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