A new penalty-based wrapper fitness function for feature subset selection with evolutionary algorithms
Feature subset selection is an important preprocessing task for any real life data mining or pattern recognition problem. Evolutionary computational (EC) algorithms are popular as a search algorithm for feature subset selection. With the classification accuracy as the fitness function, the EC algori...
Main Authors: | Basabi Chakraborty, Atsushi Kawamura |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2018-04-01
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Series: | Journal of Information and Telecommunication |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/24751839.2018.1423792 |
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