Self-Tune Linear Adaptive-Genetic Algorithm for Feature Selection

Self-Tune Linear Adaptive-Genetic Algorithm for Feature Selection

Genetic algorithm (GA) is an established machine learning technique used for heuristic optimisation purposes. However, this natural selection-based technique is prone to premature convergence, especially of the local optimum event. The presence of stagnant performance is due to low population divers...

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Bibliographic Details
Main Authors: Ching Sheng Ooi, Meng Hee Lim, Mohd Salman Leong
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Classification
exploration-exploitation cycle
feature selection
parameter tuning
STLA-GA
Online Access:https://ieeexplore.ieee.org/document/8846018/

Internet

https://ieeexplore.ieee.org/document/8846018/

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