Next Article in Journal
Implementation of Horizontal Connections in the Course of Mathematics by Combining Pedagogical and Digital Technologies
Previous Article in Journal
Calculation of Critical Load of Axially Functionally Graded and Variable Cross-Section Timoshenko Beams by Using Interpolating Matrix Method
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Mathematics
Volume 10
Issue 13
10.3390/math10132351
mathematics-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

An Efficient Parallel Reptile Search Algorithm and Snake Optimizer Approach for Feature Selection

by
Ibrahim Al-Shourbaji
1,2,
Pramod H. Kachare
3,
Samah Alshathri
4,*,
Salahaldeen Duraibi
1,
Bushra Elnaim
5 and
Mohamed Abd Elaziz
6,7,8,*
1
Department of Computer and Network Engineering, Jazan University, Jazan 45142, Saudi Arabia
2
Department of Computer Science, University of Hertfordshire, Hatfield AL10 9AB, UK
3
Department of Electronics & Telecomm, Engineering, Ramrao Adik Institute of Technology, Nerul, Navi Mumbai 400706, Maharashtra, India
4
Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
5
Department of Computer Science, College of Science and Humanities in Al-Sulail, Prince Sattam bin Abdulaziz University, Kharj 16278, Saudi Arabia
6
Faculty of Science & Engineering, Galala University, Suze 435611, Egypt
7
Artificial Intelligence Research Center (AIRC), College of Engineering and Information Technology, Ajman University, Ajman 346, United Arab Emirates
8
Department of Mathematics, Faculty of Science, Zagazig University, Zagazig 44519, Egypt
*
Authors to whom correspondence should be addressed.
Mathematics 2022, 10(13), 2351; https://doi.org/10.3390/math10132351
Submission received: 11 June 2022 / Revised: 24 June 2022 / Accepted: 27 June 2022 / Published: 5 July 2022
Browse Figures
Versions Notes

Abstract

Feature Selection (FS) is a major preprocessing stage which aims to improve Machine Learning (ML) models’ performance by choosing salient features, while reducing the computational cost. Several approaches are presented to select the most Optimal Features Subset (OFS) in a given dataset. In this paper, we introduce an FS-based approach named Reptile Search Algorithm–Snake Optimizer (RSA-SO) that employs both RSA and SO methods in a parallel mechanism to determine OFS. This mechanism decreases the chance of the two methods to stuck in local optima and it boosts the capability of both of them to balance exploration and explication. Numerous experiments are performed on ten datasets taken from the UCI repository and two real-world engineering problems to evaluate RSA-SO. The obtained results from the RSA-SO are also compared with seven popular Meta-Heuristic (MH) methods for FS to prove its superiority. The results show that the developed RSA-SO approach has a comparative performance to the tested MH methods and it can provide practical and accurate solutions for engineering optimization problems.
Keywords: classification; feature selection; metaheuristic algorithms; reptile search algorithm; snake optimizer classification; feature selection; metaheuristic algorithms; reptile search algorithm; snake optimizer

Share and Cite

MDPI and ACS Style

Al-Shourbaji, I.; Kachare, P.H.; Alshathri, S.; Duraibi, S.; Elnaim, B.; Abd Elaziz, M. An Efficient Parallel Reptile Search Algorithm and Snake Optimizer Approach for Feature Selection. Mathematics 2022, 10, 2351. https://doi.org/10.3390/math10132351

AMA Style

Al-Shourbaji I, Kachare PH, Alshathri S, Duraibi S, Elnaim B, Abd Elaziz M. An Efficient Parallel Reptile Search Algorithm and Snake Optimizer Approach for Feature Selection. Mathematics. 2022; 10(13):2351. https://doi.org/10.3390/math10132351

Chicago/Turabian Style

Al-Shourbaji, Ibrahim, Pramod H. Kachare, Samah Alshathri, Salahaldeen Duraibi, Bushra Elnaim, and Mohamed Abd Elaziz. 2022. "An Efficient Parallel Reptile Search Algorithm and Snake Optimizer Approach for Feature Selection" Mathematics 10, no. 13: 2351. https://doi.org/10.3390/math10132351

APA Style

Al-Shourbaji, I., Kachare, P. H., Alshathri, S., Duraibi, S., Elnaim, B., & Abd Elaziz, M. (2022). An Efficient Parallel Reptile Search Algorithm and Snake Optimizer Approach for Feature Selection. Mathematics, 10(13), 2351. https://doi.org/10.3390/math10132351

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop