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

Li, Mengjun; Luo, Qifang; Zhou, Yongquan

doi:10.3390/biomimetics9030187

Open AccessArticle

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

by

Mengjun Li

¹,

Qifang Luo

^1,2 and

Yongquan Zhou

^1,2,3,*

¹

College of Artificial Intelligence, Guangxi Minzu University, Nanning 530006, China

²

Guangxi Key Laboratories of Hybrid Computation and IC Design Analysis, Nanning 530006, China

³

Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia

^*

Author to whom correspondence should be addressed.

Biomimetics 2024, 9(3), 187; https://doi.org/10.3390/biomimetics9030187

Submission received: 1 February 2024 / Revised: 9 March 2024 / Accepted: 11 March 2024 / Published: 20 March 2024

(This article belongs to the Special Issue Nature-Inspired Metaheuristic Optimization Algorithms 2024)

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Abstract

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 traditional S-shaped and V-shaped transfer functions, the proposed Gaussian time-varying transfer functions have the characteristics of a fast convergence speed and a strong global search capability to convert a continuous search space to a binary one. The BGOA-TVG is tested and compared to S-shaped and V-shaped binary grasshopper optimization algorithms and five state-of-the-art swarm intelligence algorithms for feature selection. The experimental results show that the BGOA-TVG has better performance in UCI, DEAP, and EPILEPSY datasets for feature selection.

Keywords: binary grasshopper optimization algorithm; time-varying Gaussian transfer function; UCI dataset; DEAP dataset; EPILEPSY dataset; feature selection; metaheuristic

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MDPI and ACS Style

Li, M.; Luo, Q.; Zhou, Y. BGOA-TVG: Binary Grasshopper Optimization Algorithm with Time-Varying Gaussian Transfer Functions for Feature Selection. Biomimetics 2024, 9, 187. https://doi.org/10.3390/biomimetics9030187

AMA Style

Li M, Luo Q, Zhou Y. BGOA-TVG: Binary Grasshopper Optimization Algorithm with Time-Varying Gaussian Transfer Functions for Feature Selection. Biomimetics. 2024; 9(3):187. https://doi.org/10.3390/biomimetics9030187

Chicago/Turabian Style

Li, Mengjun, Qifang Luo, and Yongquan Zhou. 2024. "BGOA-TVG: Binary Grasshopper Optimization Algorithm with Time-Varying Gaussian Transfer Functions for Feature Selection" Biomimetics 9, no. 3: 187. https://doi.org/10.3390/biomimetics9030187

APA Style

Li, M., Luo, Q., & Zhou, Y. (2024). BGOA-TVG: Binary Grasshopper Optimization Algorithm with Time-Varying Gaussian Transfer Functions for Feature Selection. Biomimetics, 9(3), 187. https://doi.org/10.3390/biomimetics9030187

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

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