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» Feature Subset Selection Using a Genetic Algorithm
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CSB
2004
IEEE
135views Bioinformatics» more  CSB 2004»
14 years 20 days ago
Selection of Patient Samples and Genes for Outcome Prediction
Gene expression profiles with clinical outcome data enable monitoring of disease progression and prediction of patient survival at the molecular level. We present a new computatio...
Huiqing Liu, Jinyan Li, Limsoon Wong
GECCO
2010
Springer
207views Optimization» more  GECCO 2010»
14 years 1 months ago
Generalized crowding for genetic algorithms
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
Severino F. Galán, Ole J. Mengshoel
ISNN
2005
Springer
14 years 2 months ago
Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
Yuehui Chen, Ajith Abraham, Ju Yang
EVOW
2004
Springer
14 years 2 months ago
Solving the Vehicle Routing Problem by Using Cellular Genetic Algorithms
Cellular Genetic Algorithms (cGAs) are a subclass of Genetic Algorithms (GAs) in which the population diversity and exploration are enhanced thanks to the existence of small overla...
Enrique Alba, Bernabé Dorronsoro
RAS
2000
130views more  RAS 2000»
13 years 8 months ago
Allocating optimal index positions on tool magazines using genetic algorithms
This paper presents an optimisation system software developed for the determination of optimal index positions of cutting tools on the automatic tool changer (ATC) or turret magaz...
Türkay Dereli, I. Hüseyin Filiz