Memetic algorithms for feature/gene selection
This dissertation presents novel memetic frameworks for the hybridization of wrapper and filter feature selection methods on classification problems. The frameworks incorporate filter methods in the traditional genetic algorithm (GA) to improve classification performance and accelerate the search in...
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| Format: | Thesis |
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2008
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| Online Access: | https://hdl.handle.net/10356/2489 |