Pso
Mostrando 13-24 de 132 artigos, teses e dissertações.
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13. A Model Updating Method for Plate Elements Using Particle Swarm Optimization (PSO), Modeling the Boundary Flexibility, Including Uncertainties on Material and Dimensional Properties
Abstract It is a well-known fact that, in a real engineering situation, fixtures are not ideally stiff, so numerical simulations using them are unlikely to present results that are consistent with the experimental ones. The present paper intends to describe a model updating methodology inserting translational and rotational springs in order to better represe
Lat. Am. j. solids struct.. Publicado em: 22/10/2018
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14. Automatic Identification of Cigarette Brand Using Near-Infrared Spectroscopy and Sparse Representation Classification Algorithm
A cigarette brand automatic classification method using near-infrared (NIR) spectroscopy and sparse representation classification (SRC) algorithm is put forward by the paper. Comparing with the traditional methods, it is more robust to redundancy because it uses non-negative least squares (NNLS) sparse coding instead of principal component analysis (PCA) for
J. Braz. Chem. Soc.. Publicado em: 2018-07
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15. Power Allocation in PON-OCDMA with Improved Chaos Particle Swarm Optimization
Abstract In this work, it is investigated an improved chaos particle swarm optimization (IC-PSO) scheme to refine the quality of the algorithm solutions regarding to solve the optimal power allocation in next generation passive optical networks (NG-PON)s. The proposed IC-PSO scheme utilizes the Beta distribution instead of uniform distribution of the traditi
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2018-06
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16. Design of Microwave Absorbers using Improvised Particle Swarm Optimization Algorithm
Abstract Particle Swarm Optimization (PSO) algorithm has been applied in electromagnetics to design microwave absorbers. Generally, microwave absorbers are used for absorbing the electromagnetic radiation caused due to numerous electronic equipments and is being extensively used in stealth technology. The main aim of this paper is to find and analyze the min
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2018-06
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17. Utilização de modelos geométricos simplificados de uma córnea para fins de otimização
Resumo Otimização por Enxame de Partículas (PSO) é uma técnica de inteligência artificial (AI), que pode ser usada para encontrar soluções aproximadas para problemas numéricos de maximização e minimização extremamente difíceis. Neste trabalho, utilizou-se um algoritmo PSO para comparar os deslocamentos sofridos por uma amostra de córnea humana
Rev. bras.oftalmol.. Publicado em: 2017-12
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18. Design of Waveguide Structures Using Improved Neural Networks
Abstract In this paper, an improved neural networks (INN) strategy is proposed to design two waveguide filters (Pseudo-elliptic waveguide filter and Broad-band e-plane filters with improved stop-band). INN is trained by an efficient optimization algorithm called teaching–learning-based optimization (TLBO). To validate the effective of this proposed strateg
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2017-12
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19. An Efficient Quantum Algorithm for the Hidden Subgroup Problem over some Non-Abelian Groups
RESUMO O problema do subgrupo oculto (PSO) tem um papel importante na computação quântica pois muitos algoritmos quânticos que são exponencialmente mais rápidos que seus equivalentes clássicos são casos especiais do PSO. Neste artigo nós mostramos a existência de um novo algoritmo quântico eficiente para o PSO sobre grupos da forma Z N ⋊ Z
TEMA (São Carlos). Publicado em: 2017-08
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20. Do Uso do Método de Otimização por Exame de Partículas para Estimar um Modelo Local do Geoide Geométrico
Existe uma série de métodos para aproximar a superfície do geoide local bem como vários estudos conduzidos para determinar um geoide local. Neste estudo, apresentou-se e analisou-se o desempenho do geoide pelo método de otimização por exame de partículas (PSO, do inglês Particle Swarm Optimization) na modelagem do geoide local. As altitudes elipsoid
Bol. Ciênc. Geod.. Publicado em: 2017-06
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21. Robust Optimal Adaptive Trajectory Tracking Control of Quadrotor Helicopter
Abstract This paper focuses on robust optimal adaptive control strategy to deal with tracking problem of a quadrotor unmanned aerial vehicle (UAV) in presence of parametric uncertainties, actuator amplitude constraints, and unknown time-varying external disturbances. First, Lyapunov-based indirect adaptive controller optimized by particle swarm optimization
Lat. Am. j. solids struct.. Publicado em: 2017-06
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22. Analysis of Linear Antenna Array for minimum Side Lobe Level, Half Power Beamwidth, and Nulls control using PSO
Abstract This paper presents the optimization performance of non-uniform linear antenna array with optimized inter-element spacing and excitation amplitude using Particle Swarm Optimization (PSO). The aim of the proposed algorithm is to obtain the optimum values for inter-element spacing and excitation amplitude for a linear antenna array in a given radiatio
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2017-04
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23. The study of the ground plane effect on a Multiband PIFA Antenna by using Genetic Algorithm and Particle Swarm Optimization
Abstract The ground plane plays an important role on the performance of a planar inverted-F antenna (PIFA). In this regard, the ground plane modification using slots is proposed in this research to obtain a dual band antenna for WiMAX application. Popular optimization techniques, as genetic algorithm (GA) and particle swarm optimization (PSO), were used to d
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2016-12
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24. Use of an Artificial Neural Network-based Metamodel to Reduce the Computational Cost in a Ray-tracing Prediction Model
Abstract The purpose of this article is based on analyzing the use of RTQ3D (“quasi-3D” ray tracing technique) to produce the value of the initial electromagnetic fields or fitness for a hundred and sixty receivers according to the possible positions of two antennas to be distributed in a closed environment. The problem variables consist of the values of
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2016-12