Particle swarm optimization algorithm and its applications: a systematic review

AG Gad - Archives of computational methods in engineering, 2022 - Springer
Throughout the centuries, nature has been a source of inspiration, with much still to learn
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …

[HTML][HTML] Emerging trends in blockchain technology and applications: A review and outlook

AG Gad, DT Mosa, L Abualigah, AA Abohany - Journal of King Saud …, 2022 - Elsevier
At present times, Blockchain technology is gaining more attraction with every passing day,
as it has revolutionized the traditional trade due to its distributed ledger feature, every record …

Beluga whale optimization: A novel nature-inspired metaheuristic algorithm

C Zhong, G Li, Z Meng - Knowledge-Based Systems, 2022 - Elsevier
In this paper, a novel swarm-based metaheuristic algorithm inspired from the behaviors of
beluga whales, called beluga whale optimization (BWO), is presented to solve optimization …

Major advances in particle swarm optimization: theory, analysis, and application

EH Houssein, AG Gad, K Hussain… - Swarm and Evolutionary …, 2021 - Elsevier
Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …

An optimized deep learning architecture for breast cancer diagnosis based on improved marine predators algorithm

EH Houssein, MM Emam, AA Ali - Neural Computing and Applications, 2022 - Springer
Breast cancer is the second leading cause of death in women; therefore, effective early
detection of this cancer can reduce its mortality rate. Breast cancer detection and …

Resource allocation and task scheduling in fog computing and internet of everything environments: A taxonomy, review, and future directions

B Jamil, H Ijaz, M Shojafar, K Munir… - ACM Computing Surveys …, 2022 - dl.acm.org
The Internet of Everything paradigm is being rapidly adopted in developing applications for
different domains like smart agriculture, smart city, big data streaming, and so on. These IoE …

An automatic arrhythmia classification model based on improved marine predators algorithm and convolutions neural networks

EH Houssein, M Hassaballah, IE Ibrahim… - Expert Systems with …, 2022 - Elsevier
Abstract Preparation of Convolutional Neural Networks (CNNs) for classification purposes
depends heavily on the knowledge of hyper-parameters tuning. This study aims, in particular …

An efficient interval many-objective evolutionary algorithm for cloud task scheduling problem under uncertainty

Z Zhang, M Zhao, H Wang, Z Cui, W Zhang - Information Sciences, 2022 - Elsevier
Task scheduling is an important research direction in cloud computing. The current research
on task scheduling considers mainly the design of scheduling strategies and algorithms and …

An enhanced Archimedes optimization algorithm based on Local escaping operator and Orthogonal learning for PEM fuel cell parameter identification

EH Houssein, BE Helmy, H Rezk, AM Nassef - Engineering Applications of …, 2021 - Elsevier
Meta-heuristic optimization algorithms aim to tackle real world problems through maximizing
some specific criteria such as performance, profit, and quality or minimizing others such as …

Task scheduling algorithms for energy optimization in cloud environment: a comprehensive review

R Ghafari, FH Kabutarkhani, N Mansouri - Cluster Computing, 2022 - Springer
Cloud computing is very popular because of its unique features such as scalability, elasticity,
on-demand service, and security. A large number of tasks are performed simultaneously in a …