SIGN IN
SIGN UP
Double-deck elevator system using genetic network programming with genetic operators based on pheromone information
Full Text:
PDF
Buy this Article
Authors:
Lu Yu
Waseda University, Kitakyushu, Japan
Jin Zhou
Waseda University, Kitakyushu, Japan
Fengming Ye
Waseda University, Kitakyushu, Japan
Shingo Mabu
Waseda University, Kitakyushu, Japan
Kaoru Shimada
Waseda University, Kitakyushu, Japan
Kotaro Hirasawa
Waseda University, Kitakyushu, Japan
Sandor Markon
Fujitec Co. Ltd, Hikone, Japan
2008 Article
Bibliometrics
· Downloads (6 Weeks): 2
· Downloads (12 Months): 13
· Downloads (cumulative): 143
· Citation Count: 1
Published in:
· Proceeding
GECCO '08
Proceedings of the 2008 GECCO conference companion on Genetic and evolutionary computation
Pages 2239-2244
ACM
New York, NY
, USA
©2008
table of contents
ISBN: 978-1-60558-131-6
doi>
10.1145/1388969.1389052
Tools and Resources
Buy this Article
TOC Service:
Email
RSS
Save to Binder
Export Formats:
BibTeX
EndNote
ACM Ref
Upcoming Conference:
GECCO '13
Share:
|
Tags:
algorithms
ant colony optimization
elevator group supervisory control system
genetic network programming
genetic operator
hybrid algorithm
performance
problem solving, control methods, and search
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