[HTML][HTML] 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 …
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
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 …
as it has revolutionized the traditional trade due to its distributed ledger feature, every record …
Beluga whale optimization: A novel nature-inspired metaheuristic algorithm
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 …
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 …
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …
Resource allocation and task scheduling in fog computing and internet of everything environments: A taxonomy, review, and future directions
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 …
different domains like smart agriculture, smart city, big data streaming, and so on. These IoE …
[HTML][HTML] 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 …
detection of this cancer can reduce its mortality rate. Breast cancer detection and …
An automatic arrhythmia classification model based on improved marine predators algorithm and convolutions neural networks
Abstract Preparation of Convolutional Neural Networks (CNNs) for classification purposes
depends heavily on the knowledge of hyper-parameters tuning. This study aims, in particular …
depends heavily on the knowledge of hyper-parameters tuning. This study aims, in particular …
An enhanced Archimedes optimization algorithm based on Local escaping operator and Orthogonal learning for PEM fuel cell parameter identification
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 …
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 …
on-demand service, and security. A large number of tasks are performed simultaneously in a …
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 …
on task scheduling considers mainly the design of scheduling strategies and algorithms and …