Metaheuristic algorithms for PID controller parameters tuning: Review, approaches and open problems

SB Joseph, EG Dada, A Abidemi, DO Oyewola… - Heliyon, 2022 - cell.com
The simplicity, transparency, reliability, high efficiency and robust nature of PID controllers
are some of the reasons for their high popularity and acceptance for control in process …

Task scheduling in cloud computing based on meta-heuristics: review, taxonomy, open challenges, and future trends

EH Houssein, AG Gad, YM Wazery… - Swarm and Evolutionary …, 2021 - Elsevier
Cloud computing is a recently looming-evoked paradigm, the aim of which is to provide on-
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …

Bee optimization based random double adaptive whale optimization model for task scheduling in cloud computing environment

N Manikandan, N Gobalakrishnan… - Computer Communications, 2022 - Elsevier
Cloud computing is the computing technology that offers dynamically scalable and flexible
computing resources. Task scheduling in the cloud system is the major problem that needs …

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 …

Cost-aware job scheduling for cloud instances using deep reinforcement learning

F Cheng, Y Huang, B Tanpure, P Sawalani, L Cheng… - Cluster …, 2022 - Springer
As the services provided by cloud vendors are providing better performance, achieving auto-
scaling, load-balancing, and optimized performance along with low infrastructure …

An efficient population-based multi-objective task scheduling approach in fog computing systems

Z Movahedi, B Defude, AM Hosseininia - Journal of Cloud Computing, 2021 - Springer
With the rapid development of Internet of Things (IoT) technologies, fog computing has
emerged as an extension to the cloud computing that relies on fog nodes with distributed …

[HTML][HTML] Multi Objective Trust aware task scheduling algorithm in cloud computing using Whale Optimization

S Mangalampalli, GR Karri, U Kose - … of King Saud University-Computer and …, 2023 - Elsevier
Task Scheduling is an enormous challenge in cloud computing model as to map diverse
tasks arises from various sources there should be an efficient scheduling mechanism which …

Cost-aware scheduling systems for real-time workflows in cloud: An approach based on Genetic Algorithm and Deep Reinforcement Learning

J Zhang, L Cheng, C Liu, Z Zhao, Y Mao - Expert Systems with Applications, 2023 - Elsevier
With the development of cloud computing, a growing number of applications are migrating to
a cloud environment. In the process, the real-time scheduling of workflows has gradually …

[HTML][HTML] Multi-objective task scheduling optimization in cloud computing based on fuzzy self-defense algorithm

X Guo - Alexandria Engineering Journal, 2021 - Elsevier
A cloud computing multi-objective task scheduling optimization based on fuzzy self-defense
algorithm is proposed. Select the shortest time, the degree of resource load balance and the …

Aquila optimizer based PSO swarm intelligence for IoT task scheduling application in cloud computing

L Abualigah, MA Elaziz, N Khodadadi… - … meta-heuristics and …, 2022 - Springer
This paper introduces IAO, a new swarm intelligence approach for addressing the challenge
of task scheduling in cloud computing. The proposed method uses conventional Aquila …