The ten papers in this special section are devoted to memetic algorithms. The papers are loosely grouped into two categories: memetic algorithm methodologies and domain-specific memetic algorithms. Briefly summarizes the articles included in this section.
This correspondence presents a novel hybrid wrapper and filter feature selection algorithm for a classification problem using a memetic framework. It incorporates a filter ranking method in the traditional genetic algorithm to improve classification performance and accelerate the search in identifying the core feature subsets. Particularly, the method adds or deletes a feature from a candidate feature...
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