Search results for "Optimization"

showing 10 items of 2824 documents

On Constraint Handling in Surrogate-Assisted Evolutionary Many-Objective Optimization

2016

Surrogate-assisted evolutionary multiobjective optimization algorithms are often used to solve computationally expensive problems. But their efficacy on handling constrained optimization problems having more than three objectives has not been widely studied. Particularly the issue of how feasible and infeasible solutions are handled in generating a data set for training a surrogate has not received much attention. In this paper, we use a recently proposed Kriging-assisted evolutionary algorithm for many-objective optimization and investigate the effect of infeasible solutions on the performance of the surrogates. We assume that constraint functions are computationally inexpensive and consid…

evolution controlmetamodelpäätöksentekomultiobjective optimizationcomputational cost
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Memory-saving optimization algorithms for systems with limited hardware

2011

evolutionary algorithmmemetic algorithmdifferentiaalievoluutiodifferential evolutiontietämystekniikkamemeettiset algoritmitgeneettiset algoritmitglobal optimizationevoluutioalgoritmitcomputational ingelligencelaskennallinen älykkyysevoluutiolaskentacompact optimizationtekoälymatemaattinen optimointialgorithmic enhancementskoneoppiminenoptimointioptimointimenetelmätmemetic computingalgoritmitevolutionary computingpopulation-less optimizationsingle-solution optimization
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Optimization of Delayed-State Kalman-Filter-based Algorithm via Differential Evolution for Sensorless Control of Induction Motors

2010

This paper proposes the employment of the differential evolution (DE) to offline optimize the covariance matrices of a new reduced delayed-state Kalman-filter (DSKF)-based algorithm which estimates the stator-flux linkage components, in the stationary reference frame, to realize sensorless control of induction motors (IMs). The DSKF-based algorithm uses the derivatives of the stator-flux components as mathematical model and the stator-voltage equations as observation model so that only a vector of four variables has to be offline optimized. Numerical results, carried out using a low-speed training test, show that the proposed DE-based approach is very promising and clearly outperforms a cla…

evolutionary algorithms (EAs)induction-motor (IM) drivesvelocity controlspeed sensorlessProportional controlcovariance matricesKalman filteralgorithmsSliding mode controlControl and Systems EngineeringRobustness (computer science)Control theoryAC motor drivesDifferential evolutionoptimization methodsstate estimationElectrical and Electronic EngineeringRobust controlparameter estimationAlgorithmStationary Reference FrameKalman filteringInduction motorMathematics
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Characterisation of Fibre Glass Panels for Naval Use

2004

This work examines the characteristic of fiber glass composite panels constructed by Cantieri Arturo Stabile in Trapani (Italy): composite materials are very used in the naval applications, where high stiffness and resistance are required with reduced weight. Experimental tests are executed following ASTM or UNI EN rules, in particular the shear test is executed using a rig constructed to the purpose, designed following the rule ASTM D 4255-83. Besides the tests were simulated by analytical methods, by means of Cadec software and numerically by FEM software as Altair Hyperworks and Ansys, to evidence the error range of the experimental test and to obtain the configuration that can give suit…

fiber glass shear test optimizationSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di Macchine
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Optimisation d’un modèle atmosphérique transnational de prédiction de la concentration journalière d’ozone : intégration de paramètres météorologique…

2021

International audience; L'ozone (O3) est un polluant atmosphérique secondaire formé lors de réactions photochimiques, en présence de précurseurs (NOx, COV, CO). L'exposition à l'O3 est délicate à modéliser car ce polluant présente une forte variabilité spatiotemporelle. Le but des présents travaux est d'optimiser l'évaluation des concentrations journalières d'O3 modélisées à échelle kilométrique, à l'aide de modèles MARS et de données météorologiques. La plateforme de modélisation PREVEST a généré une prédiction de concentrations maximales journalières d'O3 pour un maillage de 3km de côté. La station de mesure de la qualité de l'air du réseau ATMO-Bourgogne-Franche-Comté, Besançon-Prévoyanc…

fine-scale exposureOzone[STAT.ME] Statistics [stat]/Methodology [stat.ME]variables météorologiquesoptimisationexposition à échelle finemeteorological variables[SDE.ES] Environmental Sciences/Environmental and Society[SDE.ES]Environmental Sciences/Environmental and Society[STAT.ME]Statistics [stat]/Methodology [stat.ME]optimization
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An optimal local active noise control method based on stochastic finite element models

2013

A new method is presented to obtain a local active noise control that is optimal in stochastic environment. The method uses numerical acoustical modeling that is performed in the frequency domain by using a sequence of finite element discretizations of the Helmholtz equation. The stochasticity of domain geometry and primary noise source is considered. Reference signals from an array of microphones are mapped to secondary loudspeakers, by an off-line optimized linear mapping. The frequency dependent linear mapping is optimized to minimize the expected value of error in a quiet zone, which is approximated by the numerical model and can be interpreted as a stochastic virtual microphone. A leas…

finite element methodmelunvaimennusQuadratic optimizationHelmholtz equationpassenger caractive noise controlmeluntorjuntastochastic domainHelmholtzin yhtälö
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On FE-grid relocation in solving unilateral boundary value problems by FEM

1992

We consider FE-grid optimization in elliptic unilateral boundary value problems. The criterion used in grid optimization is the total potential energy of the system. It is shown that minimization of this cost functional means a decrease of the discretization error or a better approximation of the unilateral boundary conditions, Design sensitivity analysis is given with respect to the movement of nodal points. Numerical results for the Dirichlet-Signorini problem for the Laplace equation and the plane elasticity problem with unilateral boundary conditions are given. In plane elasticity we consider problems with and without friction. peerReviewed

finite element methods [keyword]msc:65N50numerical examples [keyword]FE-grid relocation [keyword]msc:65N30nonlinear optimization [keyword]msc:35J05sequential quadratic programming code [keyword]unilateral boundary value problem [keyword]Poisson equation [keyword]grid relocation [keyword]
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A multi-objective fleet routing optimization for passenger shipping among islands

2009

In the last few years the statistical analysis on maritime freight and passenger transport highlights a positive trend of demand and for the next future, given the stressing congestion characterizing the road transport, a further increase both on the deep-sea-shipping and the short-sea-shipping is predicted. Given that, the navigation companies are called to improve their own services to assure a high quality and efficient customers transport, deriving at the same time their own benefits by minimizing the operating costs. Hence, an efficient and careful routes planning activity plays a meaningful role on navigation company productivity and income. Furthermore, the fleet deployment also cons…

fleet routingSettore ING-IND/17 - Impianti Industriali Meccanicimulti objective optimizationSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione
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An optimization-based approach for solving a time-harmonic multiphysical wave problem with higher-order schemes

2013

This study considers developing numerical solution techniques for the computer simulations of time-harmonic fluid-structure interaction between acoustic and elastic waves. The focus is on the efficiency of an iterative solution method based on a controllability approach and spectral elements. We concentrate on the model, in which the acoustic waves in the fluid domain are modeled by using the velocity potential and the elastic waves in the structure domain are modeled by using displacement.Traditionally, the complex-valued time-harmonic equations are used for solving the time-harmonic problems. Instead of that, we focus on finding periodic solutions without solving the time-harmonic problem…

fourth-order Runge–Kuttata113Numerical AnalysisOptimization problemfluid–structure interactionta114Physics and Astronomy (miscellaneous)DiscretizationApplied Mathematicsta111Mathematical analysisSpectral element methodspectral element methodAcoustic wavecoupled problemcontrollabilityComputer Science ApplicationsControllabilityComputational MathematicsMultigrid methodRate of convergenceModeling and SimulationConjugate gradient methodMathematicsJournal of Computational Physics
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Persistence in complex systems

2022

Persistence is an important characteristic of many complex systems in nature, related to how long the system remains at a certain state before changing to a different one. The study of complex systems' persistence involves different definitions and uses different techniques, depending on whether short-term or long-term persistence is considered. In this paper we discuss the most important definitions, concepts, methods, literature and latest results on persistence in complex systems. Firstly, the most used definitions of persistence in short-term and long-term cases are presented. The most relevant methods to characterize persistence are then discussed in both cases. A complete literature r…

fractal dimensionFOS: Computer and information sciencesComplex systemsRenewable energyglobal solar-radiationsystems' statesComplex networksGeneral Physics and AstronomyFOS: Physical scienceslong-term and short-term methodsadaptationzero-temperature dynamicsDynamical Systems (math.DS)Physics - GeophysicsneurosciencememoryMethodology (stat.ME)PersistenceOptimization and planningMemoryMachine learningearthquake magnitude seriesFOS: MathematicsAtmosphere and climateMathematics - Dynamical SystemsAdaptationcomplex systemslow-visibility eventstime-seriesStatistics - Methodologyinflation persistenceLong-term and short-term methodsdetrended fluctuation analysislong-range correlationspersistencecomplex networksSystems’ statesEconomyneural networksrenewable energyGeophysics (physics.geo-ph)atmosphere and climateeconomymachine learningoptimization and planningNeural networkswind-speedNeuroscience
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