Abstract: Highlights•GASRC exploits the L0-norm optimization to implement a new SRC based method.•GASRC is suitable for dealing with high-dimensional and small-scale training set.•GASRC uses a modified GA to determine the representation set for a test sample.•GASRC achieves better recognition result than many state-of-the-art methods.
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