Text feature selection is crucial to improve the speed and accuracy of text categorization,and then improves the effect of network information filtering.Considering feature selection as optimizing problem and in view of traditional Genetic Algorithm's shortcomings,we improve important parameters and core steps of general genetic algorithm,such as self-adapting ability of crossover probability,mutation probability and selection operator.Simulating result illustrates validity of the improved genetic algorithm...
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