Reinforcement learning-based intelligent control strategies for optimal power management in advanced power distribution systems: A survey

M Al-Saadi, M Al-Greer, M Short - Energies, 2023 - mdpi.com
Intelligent energy management in renewable-based power distribution applications, such as
microgrids, smart grids, smart buildings, and EV systems, is becoming increasingly important …

Advances in manta ray foraging optimization: A comprehensive survey

FS Gharehchopogh, S Ghafouri, M Namazi… - Journal of Bionic …, 2024 - Springer
This paper comprehensively analyzes the Manta Ray Foraging Optimization (MRFO)
algorithm and its integration into diverse academic fields. Introduced in 2020, the MRFO …

Eeoa: cost and energy efficient task scheduling in a cloud-fog framework

MS Kumar, GR Karri - Sensors, 2023 - mdpi.com
Cloud-fog computing is a wide range of service environments created to provide quick,
flexible services to customers, and the phenomenal growth of the Internet of Things (IoT) has …

Multi-swarm algorithm for extreme learning machine optimization

N Bacanin, C Stoean, M Zivkovic, D Jovanovic… - Sensors, 2022 - mdpi.com
There are many machine learning approaches available and commonly used today,
however, the extreme learning machine is appraised as one of the fastest and, additionally …

Task scheduling optimization in heterogeneous cloud computing environments: A hybrid GA-GWO approach

I Behera, S Sobhanayak - Journal of Parallel and Distributed Computing, 2024 - Elsevier
Cloud computing, a technology providing flexible and scalable computing resources, faces a
critical challenge in task scheduling, directly impacting system performance and customer …

Double deep Q-network based dynamic framing offloading in vehicular edge computing

H Tang, H Wu, G Qu, R Li - IEEE Transactions on Network …, 2022 - ieeexplore.ieee.org
With the rapid development of Artificial Intelligence (AI) and the Internet of Vehicles (IoV),
there is an increasing demand for deploying various intelligent applications on vehicles …

A normal distributed dwarf mongoose optimization algorithm for global optimization and data clustering applications

F Aldosari, L Abualigah, KH Almotairi - Symmetry, 2022 - mdpi.com
As data volumes have increased and difficulty in tackling vast and complicated problems
has emerged, the need for innovative and intelligent solutions to handle these difficulties …

An intelligent cybersecurity system for detecting fake news in social media websites

A Mughaid, S Al-Zu'bi, A Al Arjan, R Al-Amrat, R Alajmi… - Soft Computing, 2022 - Springer
People worldwide suffer from fake news in many life aspects, healthcare, transportation,
education, economics, and many others. Therefore, many researchers have considered …

Resource scheduling methods for cloud computing environment: The role of meta-heuristics and artificial intelligence

R Aron, A Abraham - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
The growth and development of scientific applications have demanded the creation of
efficient resource management systems. Resource provisioning and scheduling are two …

Federated deep reinforcement learning-based task offloading and resource allocation for smart cities in a mobile edge network

X Chen, G Liu - Sensors, 2022 - mdpi.com
Mobile edge computing (MEC) has become an indispensable part of the era of the intelligent
manufacturing industry 4.0. In the smart city, computation-intensive tasks can be offloaded to …