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ICANN
2009
Springer
16 years 28 days ago
Evolving Memory Cell Structures for Sequence Learning
The best recent supervised sequence learning methods use gradient descent to train networks of miniature nets called memory cells. The most popular cell structure seems somewhat ar...
Justin Bayer, Daan Wierstra, Julian Togelius, J&uu...
EUROGP
2007
Springer
175views Optimization» more  EUROGP 2007»
16 years 16 days ago
Fast Genetic Programming on GPUs
As is typical in evolutionary algorithms, fitness evaluation in GP takes the majority of the computational effort. In this paper we demonstrate the use of the Graphics Processing...
Simon Harding, Wolfgang Banzhaf
FPL
2007
Springer
140views Hardware» more  FPL 2007»
16 years 16 days ago
An area-efficient alternative to adaptive median filtering in FPGAs
This paper presents a new approach to the FPGA implementation of image filters which are utilized to remove the saltand-pepper noise of high intensity (up to 70% of corrupted pix...
Zdenek Vasícek, Lukás Sekanina
CEC
2005
IEEE
16 years 9 hour ago
On the complexity of overcoming gaps with isotropic mutations and elitist selection
We consider the (1+λ) evolution strategy, an evolutionary algorithm for minimization in Rn , using isotropic mutations. Thus, for instance, Gaussian mutations adapted by the 1/5-r...
Jens Jägersküpper
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
15 years 12 months ago
Alternative implementations of the Griewangk function
The well-known Griewangk function, used for evaluation of evolutionary algorithms, becomes easier as the number of dimensions grows. This paper suggests three alternative implemen...
Artem Sokolov, L. Darrell Whitley, Monte Lunacek