2010 search results - page 112 / 402 » Feature Subset Selection Using a Genetic Algorithm |
107
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SAC
1998
ACM
15 years 6 months ago
1998
ACM
The fast messy genetic algorithm (fmGA) belongs to a class of algorithms inspired by the principles of evolution, known appropriately as "evolutionary algorithms" (EAs)....
103
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TSMC
2002
15 years 1 months ago
2002
Abstract--Most genetic algorithm (GA) users adjust the main parameters of the design of a GA (crossover and mutation probability, population size, number of generations, crossover,...
117
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KDD
2004
ACM
16 years 2 months ago
2004
ACM
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
130
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GECCO
2005
Springer
15 years 7 months ago
2005
Springer
Tournament selection is the most frequently used form of selection in genetic programming (GP). Tournament selection chooses individuals uniformly at random from the population. A...
130
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BMCBI
2005
15 years 2 months ago
2005
Background: In the clinical context, samples assayed by microarray are often classified by cell line or tumour type and it is of interest to discover a set of genes that can be us...