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GECCO
2007
Springer
15 years 3 months ago
2007
Springer
This work presents a novel approach to filter synthesis on a field programmable analog array (FPAA) architecture using a genetic algorithm (GA). First, a Matlab model of the FPA...
55
Voted
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
This paper describes a genetic algorithm (GA) that evolves optimized sets of coefficients for one-dimensional signal reconstruction under lossy conditions due to quantization. Beg...
GECCO
2007
Springer
15 years 3 months ago
2007
Springer
The bin packing problem (BPP) is a real-world problem that arises in different industrial applications related to minimization of space or time. The aim of this research is to au...
66
Voted
GECCO
2003
Springer
15 years 2 months ago
2003
Springer
We propose a neuro-genetic daily stock prediction model. Traditional indicators of stock prediction are utilized to produce useful input features of neural networks. The genetic al...
102
Voted
GECCO
2004
Springer
15 years 3 months ago
2004
Springer
We propose a genetic ensemble of recurrent neural networks for stock prediction model. The genetic algorithm tunes neural networks in a two-dimensional and parallel framework. The ...