A critical review of moth-flame optimization algorithm and its variants: structural reviewing, performance evaluation, and statistical analysis
A growing trend of introducing new metaheuristic algorithms and their improvements is
observed with almost the same inherited weaknesses. The main reason is that a few studies …
observed with almost the same inherited weaknesses. The main reason is that a few studies …
DDoS attack detection techniques in IoT networks: a survey
Abstract The Internet of Things (IoT) is a rapidly emerging technology that has become more
valuable and vital in our daily lives. This technology enables connection and communication …
valuable and vital in our daily lives. This technology enables connection and communication …
Flood algorithm (FLA): an efficient inspired meta-heuristic for engineering optimization
Introducing a novel meta-heuristic optimization algorithm, the Flood Algorithm (FLA) draws
inspiration from the intricate movement and flow patterns of water masses during flooding …
inspiration from the intricate movement and flow patterns of water masses during flooding …
A multi-level thresholding image segmentation method using hybrid Arithmetic Optimization and Harris Hawks Optimizer algorithms
L Qiao, K Liu, Y Xue, W Tang, T Salehnia - Expert Systems with …, 2024 - Elsevier
Today, image segmentation methods are widely used for various applications, including
object detection. Multilevel Thresholding Image Segmentation (MTIS) methods are among …
object detection. Multilevel Thresholding Image Segmentation (MTIS) methods are among …
Independent task scheduling algorithms in fog environments from users' and service providers' perspectives: a systematic review
Fog computing has been touted as a solution for the massive growth in the need for
processing Internet of Things (IoT) tasks efficiently by bringing resources closer to the edge …
processing Internet of Things (IoT) tasks efficiently by bringing resources closer to the edge …
Delay-aware and energy-efficient task scheduling using strength pareto evolutionary algorithm II in Fog-Cloud Computing paradigm
A Daghayeghi, M Nickray - Wireless Personal Communications, 2024 - Springer
The exponential growth of technology and advent of the Internet of Things (IoT) paradigm
have caused large volumes of data to be continuously generated from the intelligent …
have caused large volumes of data to be continuously generated from the intelligent …
[HTML][HTML] Research on Move-to-Escape Enhanced Dung Beetle Optimization and Its Applications
The dung beetle optimization (DBO) algorithm is acknowledged for its robust optimization
capabilities and rapid convergence as an efficient swarm intelligence optimization …
capabilities and rapid convergence as an efficient swarm intelligence optimization …
An optimal workflow scheduling in IoT-fog-cloud system for minimizing time and energy
R Rateb, AA Hadi, VM Tamanampudi, L Abualigah… - Scientific Reports, 2025 - nature.com
Today, with the increasing use of the Internet of Things (IoT) in the world, various workflows
that need to be stored and processed on the computing platforms. But this issue, causes an …
that need to be stored and processed on the computing platforms. But this issue, causes an …
Elevating Survivability in Next-Gen IoT-Fog-Cloud Networks: Scheduling Optimization With the Metaheuristic Mountain Gazelle Algorithm
The growth of the Internet of Things (IoT) has intensely enlarged the number of related
devices creating and consuming data. To handle this ever-growing data flow, Next …
devices creating and consuming data. To handle this ever-growing data flow, Next …
Detecting and mitigating security anomalies in Software-Defined Networking (SDN) using Gradient-Boosted Trees and Floodlight Controller characteristics
Cutting-edge and innovative software solutions are provided to address network security,
network virtualization, and other network-related challenges in highly congested SDN …
network virtualization, and other network-related challenges in highly congested SDN …