Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Cloud computing service composition: A systematic literature review
A Jula, E Sundararajan, Z Othman - Expert systems with applications, 2014 - Elsevier
The increasing tendency of network service users to use cloud computing encourages web
service vendors to supply services that have different functional and nonfunctional (quality of …
service vendors to supply services that have different functional and nonfunctional (quality of …
A parameter selection strategy for particle swarm optimization based on particle positions
W Zhang, D Ma, J Wei, H Liang - Expert Systems with Applications, 2014 - Elsevier
In this study, we found that engineering experience can be used to determine the
parameters of an optimization algorithm. We came to this conclusion by analyzing the …
parameters of an optimization algorithm. We came to this conclusion by analyzing the …
Fault tolerant sliding mode predictive control for uncertain steer-by-wire system
The Steer-by-Wire (SbW) system is an electronically controlled steering system that is able
to improve steering capability without mechanical links between the steering wheel and the …
to improve steering capability without mechanical links between the steering wheel and the …
Particle swarm optimization-based multivariable generalized predictive control for an overhead crane
J Smoczek, J Szpytko - IEEE/ASME transactions on …, 2016 - ieeexplore.ieee.org
The transient and residual vibrations in flexible underactuated mechatronic systems
adversely affect the effectiveness and accuracy of performed tasks and movements …
adversely affect the effectiveness and accuracy of performed tasks and movements …
Chaotic predator–prey biogeography-based optimization approach for UCAV path planning
W Zhu, H Duan - Aerospace science and technology, 2014 - Elsevier
This paper proposes a novel Chaotic Predator–Prey Biogeography-Based Optimization
(CPPBBO) approach for solving the path planning problems of Uninhabited Combat Air …
(CPPBBO) approach for solving the path planning problems of Uninhabited Combat Air …
Effects of random values for particle swarm optimization algorithm
HP Dai, DD Chen, ZS Zheng - Algorithms, 2018 - mdpi.com
Particle swarm optimization (PSO) algorithm is generally improved by adaptively adjusting
the inertia weight or combining with other evolution algorithms. However, in most modified …
the inertia weight or combining with other evolution algorithms. However, in most modified …
Fault detection and diagnosis for multiple faults of VAV terminals using self-adaptive model and layered random forest
H Wang, D Feng, K Liu - Building and Environment, 2021 - Elsevier
Fault detection and diagnosis (FDD) can reduce a large amount of energy wasted by faults
in variable air volume (VAV) systems. This paper presents a FDD method for detecting and …
in variable air volume (VAV) systems. This paper presents a FDD method for detecting and …
Particle swarm optimization with chaos-based initialization for numerical optimization
D Tian - Intelligent Automation & Soft Computing, 2017 - Taylor & Francis
Particle swarm optimization (PSO) is a population based swarm intelligence algorithm that
has been deeply studied and widely applied to a variety of problems. However, it is easily …
has been deeply studied and widely applied to a variety of problems. However, it is easily …
Improved bald eagle search algorithm with dimension learning-based hunting for autonomous vehicle including vision dynamics
The lateral deviations on account of the penetrations of road curvature and the parameters
uncertainties are the main issues against the autonomous vehicles (AVs) controller to …
uncertainties are the main issues against the autonomous vehicles (AVs) controller to …
A new constrained PSO for fuzzy predictive control of Quadruple-Tank process
A Thamallah, A Sakly, F M'Sahli - Measurement, 2019 - Elsevier
This paper presents a new constrained predictive controller based on TS modelling
approach and Particle Swarm Optimization for optimal operation of nonlinear Multi Inputs …
approach and Particle Swarm Optimization for optimal operation of nonlinear Multi Inputs …