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» Two Results About Optimization of Fuzzy Variable Functions
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AUSAI
2008
Springer
13 years 9 months ago
Using Gaussian Processes to Optimize Expensive Functions
The task of finding the optimum of some function f(x) is commonly accomplished by generating and testing sample solutions iteratively, choosing each new sample x heuristically on t...
Marcus R. Frean, Phillip Boyle
TSMC
2011
258views more  TSMC 2011»
13 years 2 months ago
Cross-Entropy Optimization of Control Policies With Adaptive Basis Functions
—This paper introduces an algorithm for direct search of control policies in continuous-state discrete-action Markov decision processes. The algorithm looks for the best closed-l...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
EUSFLAT
2003
143views Fuzzy Logic» more  EUSFLAT 2003»
13 years 9 months ago
Prediction of surface roughness in ultraprecision turning using fuzzy logic
Ultraprecision turning is a manufacturing process used to generate a high surface roughness in precision components, and its input-output relationships are highly nonlinear. Surfa...
Arup Kumar Nandi
ICC
2007
IEEE
129views Communications» more  ICC 2007»
14 years 2 months ago
Time Sharing Policy in Wireless Networks for Variable Rate Transmission
— For most of wireless services with variable rate transmission, both average rate and rate oscillation are important performance metrics. One often needs to decide how much rate...
Xiaolu Zhang, Meixia Tao, Chun Sum Ng
CEC
2008
IEEE
14 years 2 months ago
A contour method in population-based stochastic algorithms
—Inspired by the contours in topography, this paper proposes a contour method for the population-based stochastic algorithms to solve the problems with continuous variables. Rely...
Ying Lin, Jun Zhang, Lu-kai Lan