MOABC for CSFS

A Multi-objective Artificial Bee Colony Algorithm for Cost-sensitive Feature Selection Problem
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Updated 18 Aug 2019

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This is a Matlab toolbox we developed for Cost-sensitive feature selection using two-archive multi-objective artificial bee colony algorithm”. The details of this program can be found in the paper " Cost-sensitive feature selection using two-archive multi-objective artificial bee colony algorithm", which have been submitted to the journal Expert Systems with Applications. In this toolbox, the main function is named as “main.m”. In this function, you can select different data sets by changing the value of “fly”.

Cite As

yong zhang (2024). MOABC for CSFS (https://www.mathworks.com/matlabcentral/fileexchange/71151-moabc-for-csfs), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2019a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.1

the related paper

1.0.0