Applications of particle swarm optimization in the railway domain
This paper provides a comprehensive review regarding the applications of particle swarm
optimization (PSO) in the railway domain. One hundred and thirty nine (139) publications in …
optimization (PSO) in the railway domain. One hundred and thirty nine (139) publications in …
Multi-objective design of state feedback controllers using reinforced quantum-behaved particle swarm optimization
A novel and generic multi-objective design paradigm is proposed which utilizes quantum-
behaved PSO (QPSO) for deciding the optimal configuration of the LQR controller for a given …
behaved PSO (QPSO) for deciding the optimal configuration of the LQR controller for a given …
Parallel hybrid island metaheuristic algorithm
J Li, T Gonsalves - IEEE Access, 2022 - ieeexplore.ieee.org
This study introduces a novel Parallel Hybrid Island architecture which shows a parallel way
to combine different meta-heuristic algorithms by using the island model as the base. The …
to combine different meta-heuristic algorithms by using the island model as the base. The …
[PDF][PDF] Multi-objective optimization of LQR control quarter car suspension system using genetic algorithm
MP Nagarkar, VGJ Patil - FME Transactions, 2016 - mas.bg.ac.rs
In this paper, genetic algorithm (GA) based multi-objective optimization technique is
presented to search optimum weighting matrix parameters of linear quadratic regulator …
presented to search optimum weighting matrix parameters of linear quadratic regulator …
[图书][B] Rail vehicle mechatronics
This unique and up-to-date work surveys the use of mechatronics in rail vehicles, notably
traction, braking, communications, data sharing, and control. The results include improved …
traction, braking, communications, data sharing, and control. The results include improved …
Active suspension control using novel HB3C optimized LQR controller for vibration suppression and ride comfort enhancement
This article addresses the optimization of a Vehicle Active Suspension System (VASS)
through the application of a Linear Quadratic Regulator (LQR) controller. The primary …
through the application of a Linear Quadratic Regulator (LQR) controller. The primary …
A hybrid approach for metaheuristic algorithms using island model
J Li, T Gonsalves - Proceedings of the Future Technologies Conference …, 2022 - Springer
This paper introduces a novel parallel way to combine different meta-heuristic algorithms by
using the island model, which is called Hybrid Island Metaheuristic Algorithm (HIMA). This …
using the island model, which is called Hybrid Island Metaheuristic Algorithm (HIMA). This …
Harmony search algorithm with adaptive parameters to optimize the linear quadratic regulator design
LBP Nascimento, VP Pinto… - IEEE Latin America …, 2018 - ieeexplore.ieee.org
Linear Quadratic Regulator (LQR) is an important control technique with excellent properties
associated to robust stability. This technique has been the subject of constant study until the …
associated to robust stability. This technique has been the subject of constant study until the …
Optimal design and control of stationary electrochemical double-layer capacitors for light railways
T Ratniyomchai - 2016 - etheses.bham.ac.uk
The optimisation algorithm has been further investigated to understand the influence of the
weight coefficients that affect the solution of all the optimisation problems and it is very often …
weight coefficients that affect the solution of all the optimisation problems and it is very often …
Optimal direct yaw control for sport utility vehicle using PSO
Nowadays the Sport Utility Vehicle (SUV) become more popular than sedan car around the
world even in Malaysia. But, these types of vehicles have weaknesses such as higher center …
world even in Malaysia. But, these types of vehicles have weaknesses such as higher center …