Sciweavers

3165 search results - page 240 / 633
» Introduction to genetic algorithms
Sort
View
EUROGP
2006
Springer
140views Optimization» more  EUROGP 2006»
15 years 9 months ago
Evolving Noisy Oscillatory Dynamics in Genetic Regulatory Networks
We introduce a genetic programming (GP) approach for evolving genetic networks that demonstrate desired dynamics when simulated as a discrete stochastic process. Our representation...
André Leier, P. Dwight Kuo, Wolfgang Banzha...
ENC
2003
IEEE
15 years 11 months ago
Metrics for Symbol Clustering from a Pseudoergodic Information Source
We discuss a set of metrics, which aims to facilitate the formation of symbol groups from a pseudoergodic information source. An optimal codification can then be applied on the sy...
Angel Fernando Kuri Morales, Oscar Herrera-Alcanta...
GECCO
2003
Springer
139views Optimization» more  GECCO 2003»
15 years 11 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
2003
Springer
103views Optimization» more  GECCO 2003»
15 years 11 months ago
Evaluation of Parameter Sensitivity for Portable Embedded Systems through Evolutionary Techniques
Power consumption and portability issues are becoming increasingly significant in embedded system architectures. Therefore, it is important that chip architects and integrated circ...
James Northern III, Michael A. Shanblatt
GEM
2008
15 years 7 months ago
Initial Population Diversity Does Not Influence Performance
- It is widely believed that greater initial population diversity leads to improved performance in genetic algorithms. However, this assumption has not been rigorously tested previ...
Pedro A. Diaz-Gomez, Dean F. Hougen