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» Modeling GA Performance for Control Parameter Optimization
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ICGA
1993
96views Optimization» more  ICGA 1993»
15 years 3 months ago
Dynamic Control of Genetic Algorithms in a Noisy Environment
In this paper, we present e cient algorithms for adjusting con guration parameters of genetic algorithms that operate in a noisy environment. Assuming that the population size is ...
Akiko N. Aizawa, Benjamin W. Wah
122
Voted
COMPLIFE
2006
Springer
15 years 5 months ago
Adaptive Approach for Modelling Variability in Pharmacokinetics
Abstract. We present an improved adaptive approach for studying systems of ODEs affected by parameter variability and state space uncertainty. Our approach is based on a reformulat...
Andrea Y. Weiße, Illia Horenko, Wilhelm Huis...
IEEEPACT
2007
IEEE
15 years 8 months ago
Fast Track: Supporting Unsafe Optimizations with Software Speculation
The use of multi-core, multi-processor machines is opening new opportunities for software speculation, where program code is speculatively executed to improve performance at the a...
Kirk Kelsey, Chengliang Zhang, Chen Ding
TSMC
2008
177views more  TSMC 2008»
15 years 5 days ago
Adaptive Critic Learning Techniques for Engine Torque and Air-Fuel Ratio Control
A new approach for engine calibration and control is proposed. In this paper, we present our research results on the implementation of adaptive critic designs for self-learning con...
Derong Liu, Hossein Javaherian, Olesia Kovalenko, ...
141
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IPPS
2010
IEEE
14 years 11 months ago
On the importance of bandwidth control mechanisms for scheduling on large scale heterogeneous platforms
We study three scheduling problems (file redistribution, independent tasks scheduling and broadcasting) on large scale heterogeneous platforms under the Bounded Multi-port Model. I...
Olivier Beaumont, Hejer Rejeb