the code of "A Variable Granularity Search Based Multi-Objective Feature Selection Algorithm for High-Dimensional Data Classification (IEEE Transactions on Evolutionary Computation) doi: https://doi.org/10.1109/TEVC.2022.3160458"
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VGEA.m: the code of algorithm.
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test.m: you an use test.m to start the algorithm.
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CalcObjs.m: the code to calculate objective values (error reatio and feature numbers).
the output of the algorithm is
[x, errTr, selFeatNum] = VGEA(trainData, trainLabel, dataName{1}, i);x is the individuals,
errTr is the error ratio,
selFeatNum is the number of selected features.