Distributed scheduling problems in intelligent manufacturing systems

Y Fu, Y Hou, Z Wang, X Wu, K Gao… - Tsinghua Science and …, 2021 - ieeexplore.ieee.org
Currently, manufacturing enterprises face increasingly fierce market competition due to the
various demands of customers and the rapid development of economic globalization …

A two-stage estimation of distribution algorithm with heuristics for energy-aware cloud workflow scheduling

Y Xie, XY Wang, ZJ Shen, YH Sheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the enormous increase in energy usage by cloud data centers for handling various
workflow applications, the energy-aware cloud workflow scheduling has become a hot …

An adaptive decoding biased random key genetic algorithm for cloud workflow scheduling

Y Xie, Y Sheng, M Qiu, F Gui - Engineering applications of artificial …, 2022 - Elsevier
With the ever-growing data and computing requirements, more and more scientific and
business applications represented by workflows have been moved or are in active transition …

[HTML][HTML] Meta-heuristic approaches for the university course timetabling problem

S Abdipoor, R Yaakob, SL Goh, S Abdullah - Intelligent Systems with …, 2023 - Elsevier
Course timetabling is an ongoing challenge that universities face all around the world. This
combinatorial optimization task involves allocating a set of events into finite time slots and …

A hybrid meta-heuristic task scheduling algorithm based on genetic and thermodynamic simulated annealing algorithms in cloud computing environments

M Tanha, M Hosseini Shirvani, AM Rahmani - Neural Computing and …, 2021 - Springer
Cloud providers deliver heterogeneous virtual machines to run complicated jobs submitted
by users. The task scheduling issue is formulated to a discrete optimization problem which is …

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 …

Multi-objective fault-tolerant optimization algorithm for deployment of IoT applications on fog computing infrastructure

Y Ramzanpoor, M Hosseini Shirvani… - Complex & Intelligent …, 2022 - Springer
Nowadays, fog computing as a complementary facility of cloud computing has attracted
great attentions in research communities because it has extraordinary potential to provide …

IKH-EFT: An improved method of workflow scheduling using the krill herd algorithm in the fog-cloud environment

N Khaledian, K Khamforoosh, S Azizi… - … : Informatics and Systems, 2023 - Elsevier
Given the increase diversity of smart devices and objectives of the application management
such as energy consumption, makespan users expect their requests to be responded to in …

[HTML][HTML] A hybrid of clustering and meta-heuristic algorithms to solve a p-mobile hub location–allocation problem with the depreciation cost of hub facilities

M Mokhtarzadeh, R Tavakkoli-Moghaddam… - … Applications of Artificial …, 2021 - Elsevier
Hubs act as intermediate points for the transfer of materials in the transportation system. In
this study, a novel p-mobile hub location–allocation problem is developed. Hub facilities can …

Bi-objective scheduling algorithm for scientific workflows on cloud computing platform with makespan and monetary cost minimization approach

M Hosseini Shirvani, R Noorian Talouki - Complex & Intelligent Systems, 2022 - Springer
Scheduling of scientific workflows on hybrid cloud architecture, which contains private and
public clouds, is a challenging task because schedulers should be aware of task inter …