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GECCO
2003
Springer
139views Optimization» more  GECCO 2003»
14 years 2 months ago
Daily Stock Prediction Using Neuro-genetic Hybrids
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...
Yung-Keun Kwon, Byung Ro Moon
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
14 years 2 months ago
A hardware pipeline for function optimization using genetic algorithms
Genetic Algorithms (GAs) are very commonly used as function optimizers, basically due to their search capability. A number of different serial and parallel versions of GA exist. ...
Malay Kumar Pakhira, Rajat K. De
GECCO
2003
Springer
14 years 2 months ago
Genetic Algorithm Frequency Domain Optimization of an Anti-Resonant Electromechanical Controller
The new standard for actuators in the aerospace industry is electromechanical actuators. This paper describes an approach whereby PID and DFF controllers are used in unison to eff...
Charles L. Karr, Douglas A. Scott
IJIT
2004
13 years 10 months ago
"Intuition" Operator: Providing Genomes with Reason
In this contribution, the use of a new genetic operator is proposed. The main advantage of using this operator is that it is able to assist the evolution procedure to converge fast...
Grigorios N. Beligiannis, Georgios A. Tsirogiannis...
GECCO
2003
Springer
137views Optimization» more  GECCO 2003»
14 years 2 months ago
The Spatially-Dispersed Genetic Algorithm
Abstract. Spatially structured population models improve the performance of genetic algorithms by assisting the selection scheme in maintaining diversity. A significant concern wi...
Grant Dick