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» Optimization Problems in Congestion Control
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COMCOM
2004
98views more  COMCOM 2004»
15 years 4 months ago
End system multicast: an architectural infrastructure and topological optimization
Although IP-multicast has been proposed and investigated for years, there are major problems inherent in the IP-multicasting technique, e.g., difficulty to scale up the system, di...
Starsky H. Y. Wong, John C. S. Lui
SIAMAM
2011
14 years 11 months ago
Modeling and Design Optimization of a Resonant Optothermoacoustic Trace Gas Sensor
Trace gas sensors that are compact and portable are being deployed for use in a variety of applications including disease diagnosis via breath analysis, monitoring of atmospheric p...
Noemi Petra, John Zweck, Susan E. Minkoff, Anatoli...
GECCO
2008
Springer
199views Optimization» more  GECCO 2008»
15 years 5 months ago
Analysis of multi-objective evolutionary algorithms to optimize dynamic data types in embedded systems
New multimedia embedded applications are increasingly dynamic, and rely on Dynamically-allocated Data Types (DDTs) to store their data. The optimization of DDTs for each target em...
José Ignacio Hidalgo, José L. Risco-...
SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
15 years 10 months ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 10 months ago
An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments
The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
Oliver Kramer, Bartek Gloger, Andreas Goebels