Enhancing Feature Selection in High-Dimensional Data With Fuzzy Fitness-Integrated Memetic Algorithms

Enhancing Feature Selection in High-Dimensional Data With Fuzzy Fitness-Integrated Memetic Algorithms

In environments rich in data, machine learning models often encounter challenges such as data sparsity and overfitting, primarily due to datasets with an excessive number of features. To address these issues, this paper introduces a novel feature selection method employing a Memetic Algorithm (MA) e...

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Bibliographic Details
Main Authors: Keerthi Gabbi Reddy, Deepasikha Mishra
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Evolutionary algorithms
feature selection
fuzzy fitness functions
local search algorithms
machine learning
memetic algorithms
Online Access:https://ieeexplore.ieee.org/document/10679122/

Internet

https://ieeexplore.ieee.org/document/10679122/

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