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GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
9 years 5 months ago
Classification of EEG signals using relative wavelet energy and artificial neural networks
Ling Guo, Daniel Rivero, Jose A. Seoane, Alejandro...
GECCO
2009
Springer
241views Optimization» more  GECCO 2009»
9 years 6 months ago
A fast high quality pseudo random number generator for nVidia CUDA
Previously either due to hardware GPU limits or older versions of software, careful implementation of PRNGs was required to make good use of the limited numerical precision availa...
William B. Langdon
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
9 years 6 months ago
Reinforcement learning for games: failures and successes
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
Wolfgang Konen, Thomas Bartz-Beielstein
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
9 years 6 months ago
Using performance fronts for parameter setting of stochastic metaheuristics
In this work, we explore the idea that parameter setting of stochastic metaheuristics should be considered as a multiobjective problem. The so-called “performance fronts” pres...
Johann Dréo
GECCO
2009
Springer
101views Optimization» more  GECCO 2009»
9 years 6 months ago
the future of experimental research
Thomas Bartz-Beielstein, Mike Preuss
GECCO
2009
Springer
175views Optimization» more  GECCO 2009»
9 years 6 months ago
Evolving soft robotic locomotion in PhysX
Given the complexity of the problem, genetic algorithms are one of the more promising methods of discovering control schemes for soft robotics. Since physically embodied evolution...
John Rieffel, Frank Saunders, Shilpa Nadimpalli, H...
GECCO
2009
Springer
114views Optimization» more  GECCO 2009»
9 years 6 months ago
AMaLGaM IDEAs in noiseless black-box optimization benchmarking
This paper describes the application of a Gaussian Estimation-of-Distribution (EDA) for real-valued optimization to the noiseless part of a benchmark introduced in 2009 called BBO...
Peter A. N. Bosman, Jörn Grahl, Dirk Thierens
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
9 years 6 months ago
A genetic algorithm for learning significant phrase patterns in radiology reports
Radiologists disagree with each other over the characteristics and features of what constitutes a normal mammogram and the terminology to use in the associated radiology report. R...
Robert M. Patton, Thomas E. Potok, Barbara G. Beck...
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