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Multi-objective evolutionary feature selection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2009) 5909 LNCS 74-79
DOI: 10.1007/978-3-642-11164-8_13
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Abstract

A new method of evolutionary feature selection, using multiobjective optimization in terms of fuzzy proximity and feature set cardinality, is developed. Results on two datasets indicate selection of the correct feature subset. © 2009 Springer-Verlag Berlin Heidelberg.

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Kundu, P. P., & Mitra, S. (2009). Multi-objective evolutionary feature selection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5909 LNCS, pp. 74–79). https://doi.org/10.1007/978-3-642-11164-8_13

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