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 …

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 …

Fault tolerant sliding mode predictive control for uncertain steer-by-wire system

C Huang, F Naghdy, H Du - IEEE transactions on cybernetics, 2017 - ieeexplore.ieee.org
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 …

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 …

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 …

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 …

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 …

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 …

Improved bald eagle search algorithm with dimension learning-based hunting for autonomous vehicle including vision dynamics

M Elsisi, MESM Essa - Applied Intelligence, 2023 - Springer
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 …

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 …