BGOA-TVG: Binary Grasshopper Optimization Algorithm with Time-Varying Gaussian Transfer Functions for Feature Selection

Feature selection aims to select crucial features to improve classification accuracy in machine learning and data mining. In this paper, a new binary grasshopper optimization algorithm using time-varying Gaussian transfer functions (BGOA-TVG) is proposed for feature selection. Compared with the trad...

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Bibliographic Details

Published in:	Biomimetics
Main Authors:	Mengjun Li, Qifang Luo, Yongquan Zhou
Format:	Article
Language:	English
Published:	MDPI AG 2024-03-01
Subjects:	binary grasshopper optimization algorithm time-varying Gaussian transfer function UCI dataset DEAP dataset EPILEPSY dataset feature selection
Online Access:	https://www.mdpi.com/2313-7673/9/3/187