Dragonfly algorithm: a comprehensive review and applications
Dragonfly algorithm (DA) is a novel swarm intelligence meta-heuristic optimization algorithm
inspired by the dynamic and static swarming behaviors of artificial dragonflies in nature. It …
inspired by the dynamic and static swarming behaviors of artificial dragonflies in nature. It …
Dragonfly algorithm: a comprehensive survey of its results, variants, and applications
This paper thoroughly introduces a comprehensive review of the so-called Dragonfly
algorithm (DA) and highlights its main characteristics. DA is considered one of the promising …
algorithm (DA) and highlights its main characteristics. DA is considered one of the promising …
An improved African vultures optimization algorithm using different fitness functions for multi-level thresholding image segmentation
FS Gharehchopogh, T Ibrikci - Multimedia Tools and Applications, 2024 - Springer
Image segmentation is one of the most significant and required procedures in pre-
processing and analyzing images. Metaheuristic optimization algorithms are used to solve a …
processing and analyzing images. Metaheuristic optimization algorithms are used to solve a …
An improved opposition-based marine predators algorithm for global optimization and multilevel thresholding image segmentation
EH Houssein, K Hussain, L Abualigah… - Knowledge-based …, 2021 - Elsevier
A recent meta-heuristic algorithm called Marine Predators Algorithm (MPA) is enhanced
using Opposition-Based Learning (OBL) termed MPA-OBL to improve their search efficiency …
using Opposition-Based Learning (OBL) termed MPA-OBL to improve their search efficiency …
An efficient multilevel thresholding segmentation method for thermography breast cancer imaging based on improved chimp optimization algorithm
EH Houssein, MM Emam, AA Ali - Expert Systems with Applications, 2021 - Elsevier
Thermography images are a helpful screening tool that can detect breast cancer by showing
the body parts that indicate an abnormal change in temperature. Various segmentation …
the body parts that indicate an abnormal change in temperature. Various segmentation …
An improved dragonfly algorithm for feature selection
Dragonfly Algorithm (DA) is a recent swarm-based optimization method that imitates the
hunting and migration mechanisms of idealized dragonflies. Recently, a binary DA (BDA) …
hunting and migration mechanisms of idealized dragonflies. Recently, a binary DA (BDA) …
Hybrid optimization with cryptography encryption for medical image security in Internet of Things
M Elhoseny, K Shankar, SK Lakshmanaprabu… - Neural computing and …, 2020 - Springer
The development of the Internet of Things (IoT) is predicted to change the healthcare
industry and might lead to the rise of the Internet of Medical Things. The IoT revolution is …
industry and might lead to the rise of the Internet of Medical Things. The IoT revolution is …
Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation
Breast cancer is one of the most dangerous diseases for women's health, and it is imperative
to provide the necessary diagnostic assistance for it. The medical image processing …
to provide the necessary diagnostic assistance for it. The medical image processing …
Electric load forecasting by complete ensemble empirical mode decomposition adaptive noise and support vector regression with quantum-based dragonfly algorithm
Z Zhang, WC Hong - Nonlinear dynamics, 2019 - Springer
Accurate electric load forecasting can provide critical support to makers of energy policy and
managers of power systems. The support vector regression (SVR) model can be hybridized …
managers of power systems. The support vector regression (SVR) model can be hybridized …
[HTML][HTML] Dynamic harris hawks optimization with mutation mechanism for satellite image segmentation
In this paper, a novel satellite image segmentation technique based on dynamic Harris
hawks optimization with a mutation mechanism (DHHO/M) is proposed. Compared with the …
hawks optimization with a mutation mechanism (DHHO/M) is proposed. Compared with the …