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ICGA
1993
96views Optimization» more  ICGA 1993»
13 years 10 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
ICANN
2010
Springer
13 years 10 months ago
Reinforcement Learning Based Neural Controllers for Dynamic Processes without Exploration
Abstract. In this paper we present a Reinforcement Learning (RL) approach with the capability to train neural adaptive controllers for complex control problems without expensive on...
Frank-Florian Steege, André Hartmann, Erik ...
GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
13 years 10 months ago
Aiming for a theoretically tractable CSA variant by means of empirical investigations
Evolution Strategies (ES) for black-box optimization of a function f : Rn → R are investigated. Namely, we consider the cumulative step-size adaptation (CSA) for the variance of...
Jens Jägersküpper, Mike Preuss
DATAMINE
2002
83views more  DATAMINE 2002»
13 years 8 months ago
Automated Remote Sensing with Near Infrared Reflectance Spectra: Carbonate Recognition
Reflectance spectroscopy is a standard tool for studying the mineral composition of rock and soil samples and for remote sensing of terrestrial and extraterrestrial surfaces. We de...
Joseph Ramsey, Paul Gazis, Ted Roush, Peter Spirte...
MASCOTS
2010
13 years 6 months ago
Performance of Quantized Congestion Notification in TCP Incast Scenarios of Data Centers
This paper analyzes the performance of Ethernet layer congestion control mechanism Quantized Congestion Notification (QCN) during data access from clustered servers in data centers...
Prajjwal Devkota, A. L. Narasimha Reddy