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A systematic review of the whale optimization algorithm: theoretical foundation, improvements, and hybridizations
Despite the simplicity of the whale optimization algorithm (WOA) and its success in solving
some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …
some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …
Role of metaheuristic algorithms in healthcare: a comprehensive investigation across clinical diagnosis, medical imaging, operations management, and public health
Metaheuristic algorithms have emerged in recent years as effective computational tools for
addressing complex optimization problems in many areas, including healthcare. These …
addressing complex optimization problems in many areas, including healthcare. These …
Smooth Exploration System: A novel ease-of-use and specialized module for improving exploration of whale optimization algorithm
L Wu, E Chen, Q Guo, D Xu, W ** Levenberg Marquardt algorithm for improving positioning accuracy of grinding robot
The precision of workpiece machining is critically influenced by the geometric errors in the
kinematics of grind robots, which directly affect their absolute positioning accuracy. To tackle …
kinematics of grind robots, which directly affect their absolute positioning accuracy. To tackle …
A novel hybrid binary whale optimization algorithm with chameleon hunting mechanism for wrapper feature selection in QSAR classification model: A drug-induced …
R Zhou, Y Zhang, K He - Expert Systems with Applications, 2023 - Elsevier
High dimensionality is one of the main challenges in Quantitative Structure-Activity
Relationship (QSAR) classification modeling, and feature selection as an effective …
Relationship (QSAR) classification modeling, and feature selection as an effective …
Computational studies of toxicity and properties of β-diketones through topological indices and M/NM-polynomials
MI Huilgol, V Sriram, HJ Udupa… - Computational and …, 2023 - Elsevier
Abstract β-diketones are promising scaffolds for drug discovery and drug delivery because
of their diketo moiety separated by a single bondCH 2 group that results in facile keto-enol …
of their diketo moiety separated by a single bondCH 2 group that results in facile keto-enol …
[HTML][HTML] Enhanced MPPT-based fractional-order PID for PV systems using aquila optimizer
This paper proposes a controller to track the maximum power point (MPP) of a photovoltaic
(PV) system using a fractional-order proportional integral derivative (FOPID) controller. The …
(PV) system using a fractional-order proportional integral derivative (FOPID) controller. The …
Chaotic binarization schemes for solving combinatorial optimization problems using continuous metaheuristics
Chaotic maps are sources of randomness formed by a set of rules and chaotic variables.
They have been incorporated into metaheuristics because they improve the balance of …
They have been incorporated into metaheuristics because they improve the balance of …
Cross-domain fault diagnosis using convolutional attention network with an improved dung beetle optimization algorithm
Z Li, X Luo, Q Peng, Y Yang - Measurement Science and …, 2024 - iopscience.iop.org
Rotating machinery plays a critical role in large-scale equipment, and its operational
condition significantly influences the stability and safety of the equipment. Therefore, it is …
condition significantly influences the stability and safety of the equipment. Therefore, it is …
Time-varying Binary Phasmatodea Population Evolution Algorithm
Abstract Phasmatodea Population Evolution Algorithm (PPE) is an optimization algorithm
based on insect behavior. It excels in solving tasks in continuous space. Standard PPE is not …
based on insect behavior. It excels in solving tasks in continuous space. Standard PPE is not …