Rolling bearing fault diagnosis based on VMD-MPE and PSO-SVM
M Ye, X Yan, M Jia - Entropy, 2021 - mdpi.com
The goal of the paper is to present a solution to improve the fault detection accuracy of
rolling bearings. The method is based on variational mode decomposition (VMD), multiscale …
rolling bearings. The method is based on variational mode decomposition (VMD), multiscale …
Hairpin RNA genetic algorithm based ANFIS for modeling overhead cranes
X Zhu, N Wang - Mechanical Systems and Signal Processing, 2022 - Elsevier
Obtaining an accurate mathematical model is an important subject to design an overhead
crane control system. However, there are some deviations between an existing model and a …
crane control system. However, there are some deviations between an existing model and a …
[HTML][HTML] A multi-parent genetic algorithm for solving longitude–latitude-based 4D traveling salesman problems under uncertainty
In this study, we propose a mathematical model of a 4D clustered traveling salesman
problem (CTSP) to address the cost-effective security and risk-related difficulties associated …
problem (CTSP) to address the cost-effective security and risk-related difficulties associated …
A Utilization Based Genetic Algorithm for virtual machine placement in cloud systems
Due to the increasing demand for cloud computing and related services, cloud providers
need to come up with methods and mechanisms that increase the performance, availability …
need to come up with methods and mechanisms that increase the performance, availability …
Decomposition-based multi-objective evolutionary algorithm for virtual machine and task joint scheduling of cloud computing in data space
X Wang, H Lou, Z Dong, C Yu, R Lu - Swarm and Evolutionary …, 2023 - Elsevier
Abstract Efficient Virtual Machine (VM) placement and task scheduling is considered a major
challenge in cloud computing, given that the scheduling results directly affect user …
challenge in cloud computing, given that the scheduling results directly affect user …
[HTML][HTML] Machine Learning to Estimate Workload and Balance Resources with Live Migration and VM Placement
Currently, utilizing virtualization technology in data centers often imposes an increasing
burden on the host machine (HM), leading to a decline in VM performance. To address this …
burden on the host machine (HM), leading to a decline in VM performance. To address this …
Entropy‐aware energy‐efficient virtual machine placement in cloud environments using type information
TS Mousavi, A Shankar, MH Rezvani… - Concurrency and …, 2024 - Wiley Online Library
One of the practical preferences of cloud service providers is to use specialized physical
hosts. In other words, the goal is to place homogeneous virtual machines (VMs) on the …
hosts. In other words, the goal is to place homogeneous virtual machines (VMs) on the …
[HTML][HTML] Sustainable expert virtual machine migration in dynamic clouds
Operation on demand flexibility in cloud computing services has resulted in great popularity
and wide adoption. These services integrate thousands of computers, storage and …
and wide adoption. These services integrate thousands of computers, storage and …
Optimized radial basis function network for the fatigue driving modeling
The optimized radial basis function network is a kind of neural network that utilizes a step
size inside of the gradient strategy for the modeling, where a small step size will spend much …
size inside of the gradient strategy for the modeling, where a small step size will spend much …
Handling hierarchy in cloud data centers: A Hyper-Heuristic approach for resource contention and energy-aware Virtual Machine management
J Zhang, H Yu, G Fan, Z Li, J Xu, J Li - Expert Systems with Applications, 2024 - Elsevier
For cloud data centers, a performant yet energy-efficient operation is critical for service
quality and experience. The growing demand for cloud-based services has led to the …
quality and experience. The growing demand for cloud-based services has led to the …