A Binary Waterwheel Plant Optimization Algorithm for Feature Selection-Reference-Cited by-同舟云学术

A Binary Waterwheel Plant Optimization Algorithm for Feature Selection

Published:2023 Issue: Volume:11 Page:94227-94251
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Alhussan Amel Ali¹^ORCID,Abdelhamid Abdelaziz A.²^ORCID,El-Kenawy El-Sayed M.³^ORCID,Ibrahim Abdelhameed⁴^ORCID,Eid Marwa Metwally³,Khafaga Doaa Sami¹^ORCID,Ahmed Ayman Em⁵^ORCID

Affiliation:

1. Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia

2. Department of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra, Saudi Arabia

3. Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology, Mansoura, Egypt

4. Computer Engineering and Control Systems Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt

5. Faculty of Engineering, King Salman International University, El Tor, Egypt

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10239158.pdf?arnumber=10239158

Reference62 articles.

1. Binary Simulated Normal Distribution Optimizer for feature selection: Theory and application in COVID-19 datasets

2. Satin bowerbird optimizer: A new optimization algorithm to optimize ANFIS for software development effort estimation

3. An improved Dragonfly Algorithm for feature selection

4. Multi-Verse Optimizer: a nature-inspired algorithm for global optimization

5. Binary ant lion approaches for feature selection

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