A systematic review of the whale optimization algorithm: theoretical foundation, improvements, and hybridizations
MH Nadimi-Shahraki, H Zamani… - … Methods in Engineering, 2023 - Springer
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' …
A comprehensive review of synthetic data generation in smart farming by using variational autoencoder and generative adversarial network
In this study, we propose the use of Variational Autoencoders (VAEs) and Generative
Adversarial Networks (GANs) to generate synthetic data for crop recommendation (CR). CR …
Adversarial Networks (GANs) to generate synthetic data for crop recommendation (CR). CR …
A modified reptile search algorithm for global optimization and image segmentation: Case study brain MRI images
MM Emam, EH Houssein, RM Ghoniem - Computers in biology and …, 2023 - Elsevier
In this paper, we proposed an enhanced reptile search algorithm (RSA) for global
optimization and selected optimal thresholding values for multilevel image segmentation …
optimization and selected optimal thresholding values for multilevel image segmentation …
Boosted sooty tern optimization algorithm for global optimization and feature selection
Feature selection (FS) represents an optimization problem that aims to simplify and improve
the quality of highly dimensional datasets through selecting prominent features and …
the quality of highly dimensional datasets through selecting prominent features and …
Modified honey badger algorithm based global MPPT for triple-junction solar photovoltaic system under partial shading condition and global optimization
In the recent era, Metaheuristic Algorithms (MHs) are developed to tackle many and different
optimization problems. The merit of the MHs is not only its simplicity to understand but also …
optimization problems. The merit of the MHs is not only its simplicity to understand but also …
Development and application of equilibrium optimizer for optimal power flow calculation of power system
This paper proposes an enhanced version of Equilibrium Optimizer (EO) called (EEO) for
solving global optimization and the optimal power flow (OPF) problems. The proposed EEO …
solving global optimization and the optimal power flow (OPF) problems. The proposed EEO …
Binary aquila optimizer for selecting effective features from medical data: A COVID-19 case study
Medical technological advancements have led to the creation of various large datasets with
numerous attributes. The presence of redundant and irrelevant features in datasets …
numerous attributes. The presence of redundant and irrelevant features in datasets …
MMKE: Multi-trial vector-based monkey king evolution algorithm and its applications for engineering optimization problems
Monkey king evolution (MKE) is a population-based differential evolutionary algorithm in
which the single evolution strategy and the control parameter affect the convergence and the …
which the single evolution strategy and the control parameter affect the convergence and the …
Augmented weighted K-means grey wolf optimizer: An enhanced metaheuristic algorithm for data clustering problems
This study presents the K-means clustering-based grey wolf optimizer, a new algorithm
intended to improve the optimization capabilities of the conventional grey wolf optimizer in …
intended to improve the optimization capabilities of the conventional grey wolf optimizer in …
Self-adaptive moth flame optimizer combined with crossover operator and Fibonacci search strategy for COVID-19 CT image segmentation
The COVID-19 is one of the most significant obstacles that humanity is now facing. The use
of computed tomography (CT) images is one method that can be utilized to recognize …
of computed tomography (CT) images is one method that can be utilized to recognize …