Search results for " optimization."

showing 10 items of 2333 documents

Mathematical models for Multi Container Loading Problems with practical constraints

2019

Abstract We address the multi container loading problem of a company that serves its customers’ orders by building pallets with the required products and loading them into trucks. The problem is solved by using integer linear models. To be useful in practice, our models consider three types of constraints: geometric constraints, so that pallets lie completely inside the trucks and do not overlap; weight constraints, defining the maximum weights supported by a truck and by each axle, as well as the position of the centre of gravity of the cargo; and dynamic stability constraints. These last constraints forbid empty spaces between pallets to avoid cargo displacement when the truck is moving, …

TruckMathematical optimization021103 operations researchGeneral Computer ScienceMathematical modelComputer science0211 other engineering and technologiesGeneral Engineering02 engineering and technologyContainer loading; Cutting stock problem; Integer programming; Optimization; Computer Science (all); Engineering (all)Cutting stock problemContainer (abstract data type)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingPalletInteger programmingInteger (computer science)
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Radiometric Partial Discharge Detection: A Review

2023

One of the most common failures or breakdowns that can occur in high-voltage (HV) equipment is due to partial discharges (PDs). This occurs as a result of inadequate insulation, aging, harsh environmental effects, or manufacturing flaws. PD detection and recognition methods have gained growing attention and have seen great progress in the past decades. Radiometric methods are one of the most investigated detection approaches due to their immunity to electromagnetic interference (EMI) and their capabilities to detect and locate PD activities in different applications such as transformers, cables, etc. Several review articles have been published to classify and categorize these works. Nonethe…

UHF antennaprinted antennasinductive sensorControl and OptimizationRenewable Energy Sustainability and the EnvironmentEnergy Engineering and Power TechnologyPartial discharge detectionBuilding and Constructionradiometric detectionHV equipment diagnosiloop antennaSettore ING-IND/31 - ElettrotecnicaElectrical and Electronic EngineeringEngineering (miscellaneous)Energy (miscellaneous)
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Análisis de la implementación Schema.org en el repositorio RODERIC e impacto en el posicionamiento en Google y Google Scholar

2021

espanolSe presenta la implementacion de Schema.org en el repositorio RODERIC de la Universitat de Valencia. Para el analisis del impacto de la implementacion se han definido ocho indicadores que se han analizado en Google Search y Google Scholar segun el caso: visitas, visitas a registros bibliograficos, documentos descargados, impresiones, clics, CTR, posicion media en la SERP y posicion en la SERP que fueron analizados durante dos periodos consecutivos de un ano, antes y despues de la implementacion. Los resultados obtenidos muestran resultados desiguales para ambos buscadores. En el caso de Google Search, a pesar de conseguirse un incremento considerable en el numero de impresiones (21,0…

UNESCO::HISTORIAUNESCO::HISTORIA::Historia por especialidades::Historia de la cienciaWeb semànticSEO académico:HISTORIA::Historia por especialidades::Historia de la ciencia [UNESCO]repositoriosJSON-LDLibrary and Information Sciencesschema.orgweb semánticaBibliography. Library science. Information resourcesUNESCO::SOCIOLOGÍA::Comunicaciones socialessemantic webInstitutional repositoriesposicionamiento webPolitical sciencesearch engine optimizationDipòsits institucionals:HISTORIA [UNESCO]RODERICHumanitiesacademic SEOrepositories:SOCIOLOGÍA::Comunicaciones sociales [UNESCO]Z
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Min-max control of uncertain multi-inventory systems with multiplicative uncertainties

2001

In this note, we consider production-distribution systems with buffer and capacity constraints. For such systems, we assume that the model is not known exactly. More precisely, the entries of the matrix representing the system structure may be affine functions of some uncertain time-varying parameters that take values within assigned bounds. We give stabilizability conditions that can be checked, in principle, by solving a min-max problem on the surface of the state-space (buffer level space) unit ball. Then, we consider a special case in which each uncertain parameter affects a single column of the system matrix and is independent of all the other ones. In this case, we propose a mixed int…

Unit sphereMathematical optimizationMatrix (mathematics)Linear programmingControl and Systems EngineeringStochastic processMultiplicative functionAffine transformationElectrical and Electronic EngineeringSpecial caseInteger programmingComputer Science ApplicationsMathematics
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Fuzzy Investment Portfolio Selection Models Based on Interval Analysis Approach

2012

Published version of an article from the journal: Mathematical Problems in Engineering. Also available from the publisher:http://dx.doi.org/10.1155/2012/628295 This paper employs fuzzy set theory to solve the unintuitive problem of the Markowitz mean-variance (MV) portfolio model and extend it to a fuzzy investment portfolio selection model. Our model establishes intervals for expected returns and risk preference, which can take into account investors' different investment appetite and thus can find the optimal resolution for each interval. In the empirical part, we test this model in Chinese stocks investment and find that this model can fulfill different kinds of investors' objectives. Fi…

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413Actuarial scienceArticle SubjectComputer scienceInvestment strategyApplication portfolio managementGeneral Mathematicslcsh:MathematicsGeneral EngineeringBlack–Litterman modellcsh:QA1-939VDP::Social science: 200::Economics: 210::Econometrics: 214lcsh:TA1-2040Return on investmentEconometricsPost-modern portfolio theoryPortfolio optimizationlcsh:Engineering (General). Civil engineering (General)Investment performanceSelection (genetic algorithm)Mathematical Problems in Engineering
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Observer-Based Stabilization of Stochastic Systems with Limited Communication

2012

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from Hindawi: http://dx.doi.org/10.1155/2012/781542 Open Access This paper studies the problem of observer-based stabilization of stochastic nonlinear systems with limited communication. A communication channel exists between the output of the plant and the input of the dynamic controller, which is considered network-induced delays, data packet dropouts, and measurement quantization. A new stability criterion is derived for the stochastic nonlinear system by using the Lyapunov functional approach. Based on this, the design procedure of observer-based controller is presented,which ensures asy…

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413Mathematical optimizationObserver (quantum physics)Article SubjectComputer scienceStability criterionGeneral Mathematicslimited communicationSeparation principleExponential stabilityControl theorydesign proceduredynamic controllerNetwork packetlcsh:MathematicsQuantization (signal processing)VDP::Technology: 500::Mechanical engineering: 570General EngineeringIllustrative examplesObserver (special relativity)lcsh:QA1-939Lyapunov functionalsdesign techniqueNonlinear systemlcsh:TA1-2040data packet dropoutlcsh:Engineering (General). Civil engineering (General)Mathematical Problems in Engineering
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D-Optimal Design for Parameter Estimation in Discrete-Time Nonlinear Dynamic Systems

2012

Published version of an article from the journal: Mathematical Problems in Engineering. Also available from the publisher:http://dx.doi.org/10.1155/2012/296701 An optimal input design method for parameter estimation in a discrete-time nonlinear system is presented in the paper to improve the observability and identification precision of model parameters. Determinant of the information matrix is used as the criterion function which is generally a nonconvex function about the input signals to be designed. To avoid the locally optimizing problem, a randomized designmethod is proposed bywhich a globally optimizing test plan other than input signals may be obtained. Then the randomized design ca…

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413Optimal designMathematical optimizationArticle SubjectComputer scienceEstimation theoryIterative methodlcsh:MathematicsGeneral MathematicsGeneral EngineeringFunction (mathematics)lcsh:QA1-939Dynamic programmingNonlinear systemDiscrete time and continuous timelcsh:TA1-2040Control theoryObservabilitylcsh:Engineering (General). Civil engineering (General)Mathematical Problems in Engineering
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Modeling and Performance Analysis of Energy Efficiency Binary Power Control in MIMO-OFDM Wireless Communication Systems

2011

Published version of an article in the journal:International Journal of Distributed Sensor Networks. Also available from Hindawi Publishing: http://dx.doi.org/10.1155/2011/946258 The energy efficiency optimization of the binary power control scheme for MIMO-OFDM wireless communication systems is formulated, and then a global optimization solution of power allocation is derived. Furthermore, a new energy efficiency binary power control (EEBPC) algorithm is designed to improve the energy efficiency of MIMO-OFDM wireless communication systems. Simulation results show that the EEBPC algorithm has better energy efficiency and spectrum efficiency than the average power control algorithm in MIMO-O…

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413Scheme (programming language)Theoretical computer scienceArticle SubjectComputer Networks and CommunicationsComputer scienceBinary numberData_CODINGANDINFORMATIONTHEORY02 engineering and technologylcsh:QA75.5-76.950203 mechanical engineeringVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552Computer Science::Networking and Internet Architecture0202 electrical engineering electronic engineering information engineeringElectronic engineeringGlobal optimizationComputer Science::Information Theorycomputer.programming_languageComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSGeneral Engineering020206 networking & telecommunications020302 automobile design & engineeringSpectral efficiencyMIMO-OFDMPower (physics)lcsh:Electronic computers. Computer sciencecomputerPower controlEfficient energy useInternational Journal of Distributed Sensor Networks
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A novel identification method for generalized T-S fuzzy systems

2012

Published version of an article from the journal: Mathematical Problems in Engineering. Also available from the publisher:http://dx.doi.org/10.1155/2012/893807 In order to approximate any nonlinear system, not just affine nonlinear systems, generalized T-S fuzzy systems, where the control variables and the state variables, are all premise variables are introduced in the paper. Firstly, fuzzy spaces and rules were determined by using ant colony algorithm. Secondly, the state-space model parameters are identified by using genetic algorithm. The simulation results show the effectiveness of the proposed algorithm

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413State variableMathematical optimizationArticle SubjectGeneral MathematicsAnt colony optimization algorithmsPopulation-based incremental learninglcsh:MathematicsVDP::Technology: 500General EngineeringFuzzy control systemlcsh:QA1-939Fuzzy logicNonlinear systemlcsh:TA1-2040Fuzzy set operationslcsh:Engineering (General). Civil engineering (General)AlgorithmMathematicsFSA-Red Algorithm
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Online Deflection Compensation of a Flexible Hydraulic Loader Crane Using Neural Networks and Pressure Feedback

2022

The deflection compensation of a hydraulically actuated loader crane is presented. Measurement data from the laboratory are used to design a neural network deflection estimator. Kinematic expressions are derived and used with the deflection estimator in a feedforward topology to compensate for the static deflection. A dynamic deflection compensator is implemented, using pressure feedback and an adaptive bandpass filter. Simulations are conducted to verify the performance of the control system. Experimental results showcase the effectiveness of both the static and dynamic deflection compensator while running closed-loop motion control, with a 90% decrease in static deflection.

VDP::Teknologi: 500Control and OptimizationArtificial IntelligenceMechanical EngineeringPhysics::Space Physicsdeflection compensation; kinematics; loader crane; hydraulics; neural networkRobotics
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