Dynamic coati optimization algorithm for biomedical classification tasks

EH Houssein, NA Samee, NF Mahmoud… - Computers in Biology …, 2023 - Elsevier
Medical datasets are primarily made up of numerous pointless and redundant elements in a
collection of patient records. None of these characteristics are necessary for a medical …

MTV-SCA: multi-trial vector-based sine cosine algorithm

MH Nadimi-Shahraki, S Taghian, D Javaheri… - Cluster …, 2024 - Springer
The sine cosine algorithm (SCA) is a metaheuristic algorithm that employs the
characteristics of sine and cosine trigonometric functions. SCA's deficiencies include a …

Fitness-guided particle swarm optimization with adaptive Newton-Raphson for Photovoltaic Model Parameter Estimation

M Premkumar, S Ravichandran, TJT Hashim… - Applied Soft …, 2024 - Elsevier
This study introduces a new approach for parameter optimization in the four-diode
photovoltaic (PV) model, employing a Dynamic Fitness-Guided Particle Swarm Optimization …

Multi-kernel support vector regression with improved moth-flame optimization algorithm for software effort estimation

J Li, S Sun, L **e, C Zhu, D He - Scientific Reports, 2024 - nature.com
In this paper, a novel Moth-Flame Optimization (MFO) algorithm, namely MFO algorithm
enhanced by Multiple Improvement Strategies (MISMFO) is proposed for solving parameter …

Complex hilly terrain agricultural UAV trajectory planning driven by Grey Wolf Optimizer with interference model

X Liu, P Shao, G Li, L Ye, H Yang - Applied Soft Computing, 2024 - Elsevier
To address the limitations of agricultural UAV in performing trajectory planning in complex
hilly terrain, a trajectory planning model based on hilly characteristic terrain and agricultural …

Bi-objective feature selection in high-dimensional datasets using improved binary chimp optimization algorithm

NEA Al-qudah, BH Abed-alguni… - International Journal of …, 2024 - Springer
The machine learning process in high-dimensional datasets is far more complicated than in
low-dimensional datasets. In high-dimensional datasets, Feature Selection (FS) is …

DHRDE: Dual-population hybrid update and RPR mechanism based differential evolutionary algorithm for engineering applications

G Hu, C Gong, B Shu, Z Xu, G Wei - Computer Methods in Applied …, 2024 - Elsevier
In this paper, an enhanced differential evolution algorithm based on dual population hybrid
update and random population replacement strategy (namely RPR mechanism) is …

Multiplayer battle game-inspired optimizer for complex optimization problems

Y Xu, R Zhong, C Zhang, J Yu - Cluster Computing, 2024 - Springer
Various popular multiplayer battle royale games share a lot of common elements. Drawing
from our observations, we summarized these shared characteristics and subsequently …

A novel path planning approach to minimize machining time in laser machining of irregular micro-holes using adaptive discrete grey wolf optimization

T Zhang, H Hu, Y Liang, X Liu, Y Rong, C Wu… - Computers & Industrial …, 2024 - Elsevier
As an essential technique in fabricating substrates for flexible printed circuit boards, laser
drilling of polyimide films facilitates the production of smaller holes of superior quality, which …

Grain condition inspection: one improved grey wolf algorithm for nodes deployment optimization combining with path planning of multi-inspection robots

C Zhu, J Zhang, J Yang - Soft Computing, 2024 - Springer
Grain inspection robots can detect abnormal information such as grain insects and
impurities on the grain surface by deploying detection nodes, it has a significant for the …