Abstract:Metaheuristic algorithms have proven to be quite effective at solving global optimization issues, particularly feature selection difficulties. This class of algorithms often uses a specialized local search technique as an inner component or as a post-processing mechanism to improve the performance of their search process. This paper presents a comprehensive survey of the use of local search methods integrated into metaheuristic algorithms for optimizing the feature selection process. Based on the manner of ope… Show more
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