Feature subset selection using a genetic algorithm
Jihoon Yang, Vasant Honavar · IEEE Intelligent Systems and their Applications · 1998
Practical pattern-classification and knowledge-discovery problems require the selection of a subset of attributes or features to represent the patterns to be classified. The authors' approach uses a genetic algorithm to select such subsets, achieving multicriteria optimization in terms of generalization accuracy and costs associated with the features.