Advances in nature-inspired metaheuristic optimization for feature selection problem: A comprehensive survey

M Nssibi, G Manita, O Korbaa - Computer Science Review, 2023 - Elsevier
The main objective of feature selection is to improve learning performance by selecting
concise and informative feature subsets, which presents a challenging task for machine …

[HTML][HTML] Recent advances in harris hawks optimization: A comparative study and applications

AG Hussien, L Abualigah, R Abu Zitar, FA Hashim… - Electronics, 2022 - mdpi.com
The Harris hawk optimizer is a recent population-based metaheuristics algorithm that
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …

Classification framework for faulty-software using enhanced exploratory whale optimizer-based feature selection scheme and random forest ensemble learning

M Mafarja, T Thaher, MA Al-Betar, J Too… - Applied …, 2023 - Springer
Abstract Software Fault Prediction (SFP) is an important process to detect the faulty
components of the software to detect faulty classes or faulty modules early in the software …

Harris hawks optimization algorithm: variants and applications

M Shehab, I Mashal, Z Momani, MKY Shambour… - … Methods in Engineering, 2022 - Springer
This paper introduces a comprehensive survey of a new swarm intelligence optimization
algorithm so-called Harris hawks optimization (HHO) and analyzes its major features. HHO …

Backpropagation Neural Network optimization and software defect estimation modelling using a hybrid Salp Swarm optimizer-based Simulated Annealing Algorithm

S Kassaymeh, M Al-Laham, MA Al-Betar… - Knowledge-Based …, 2022 - Elsevier
Abstract Software Defect Estimation (SDE) is a fundamental problem solving mechanism in
the field of software engineering (SE). SDE is a task that identifies software models that are …

Boolean Particle Swarm Optimization with various Evolutionary Population Dynamics approaches for feature selection problems

T Thaher, H Chantar, J Too, M Mafarja… - Expert Systems with …, 2022 - Elsevier
In the feature selection process, reaching the best subset of features is considered a difficult
task. To deal with the complexity associated with this problem, a sophisticated and robust …

[HTML][HTML] Diagnosis of obstructive sleep apnea from ECG signals using machine learning and deep learning classifiers

A Sheta, H Turabieh, T Thaher, J Too, M Mafarja… - Applied Sciences, 2021 - mdpi.com
Obstructive sleep apnea (OSA) is a well-known sleep ailment. OSA mostly occurs due to the
shortage of oxygen for the human body, which causes several symptoms (ie, low …

Harris hawk optimization: a survey onvariants and applications

BK Tripathy, PK Reddy Maddikunta… - Computational …, 2022 - Wiley Online Library
In this review, we intend to present a complete literature survey on the conception and
variants of the recent successful optimization algorithm, Harris Hawk optimizer (HHO), along …

Boosted whale optimization algorithm with natural selection operators for software fault prediction

Y Hassouneh, H Turabieh, T Thaher, I Tumar… - IEEE …, 2021 - ieeexplore.ieee.org
Software fault prediction (SFP) is a challenging process that any successful software should
go through it to make sure that all software components are free of faults. In general, soft …

Intelligent detection of false information in arabic tweets utilizing hybrid harris hawks based feature selection and machine learning models

T Thaher, M Saheb, H Turabieh, H Chantar - Symmetry, 2021 - mdpi.com
Fake or false information on social media platforms is a significant challenge that leads to
deliberately misleading users due to the inclusion of rumors, propaganda, or deceptive …