Search results for "OPTIMIZATION"

showing 10 items of 2824 documents

A High speed data link optimization for digitalized transfer to processing FPGA

2021

State-of-the-art arrays of detectors, that require digital processing, may have a sizeable number of digitalized signal links. This is the case in several experimental nuclear physics instruments. Moreover, the data rate of the sampled signals, defined primary by the signal bandwidth of the individual detectors, may not exhaust the capabilities of a single FPGA transceiver input. The preprocessing is usually carried out in a modern FPGA with transceiver data rate capabilities over 10Gbps. Moreover, cost effective FPGA have a limited number of transceivers for given FPGA processing capabilities. The investigation of a cost-effective and efficient solution to the mismatch between both data ra…

communication serial linkMotherboardComputer scienceFirmwarebusiness.industryInterface (computing)PhysicsQC1-999computer.software_genreLink aggregationelectronic instrumentationData linktime domain multiplexingfpga optimizationTransceiverField-programmable gate arrayCommunications protocolbusinesscomputerComputer hardwareEPJ Web of Conferences
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Computable majorants of the limit load in Hencky’s plasticity problems

2018

Abstract We propose a new method for analyzing the limit (safe) load of elastoplastic media governed by the Hencky plasticity law and deduce fully computable bounds of this load. The main idea of the method is based on a combination of kinematic approach and new estimates of the distance to the set of divergence free fields. We show that two sided bounds of the limit load are sharp and the computational efficiency of the method is confirmed by numerical experiments.

computable boundsMathematical optimizationpenalizationta111010103 numerical & computational mathematicsKinematicslimit loadPlasticitydivergence free fields01 natural sciences010101 applied mathematicsSet (abstract data type)Computational MathematicsComputational Theory and MathematicsModeling and SimulationApplied mathematicsLimit loadLimit (mathematics)Hencky’s plasticity0101 mathematicsDivergence (statistics)MathematicsComputers & Mathematics with Applications
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Multi-objective optimization for computation offloading in mobile-edge computing

2017

Mobile-edge cloud computing is a new cloud platform to provide pervasive and agile computation augmenting services for mobile devices (MDs) at anytime and anywhere by endowing ubiquitous radio access networks with computing capabilities. Although offloading computations to the cloud can reduce energy consumption at the MDs, it may also incur a larger execution delay. Usually the MDs have to pay cloud resource they used. In this paper, we utilize queuing theory to bring a thorough study on the energy consumption, execution delay and price cost of offloading process in a mobile-edge cloud system. Specifically, both wireless transmission and computing capabilities are explicitly and jointly co…

computational modeling020203 distributed computingMobile edge computingOptimization problemta213delaysbusiness.industryComputer scienceDistributed computingcloud computing020206 networking & telecommunicationsCloud computing02 engineering and technologyEnergy consumptionbase stationsMulti-objective optimizationBase stationenergy consumptioncomputers0202 electrical engineering electronic engineering information engineeringComputation offloadingbusinessoptimizationMobile deviceComputer network2017 IEEE Symposium on Computers and Communications (ISCC)
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Surrogate assisted interactive multiobjective optimization in energy system design of buildings

2022

In this paper, we develop a novel evolutionary interactive method called interactive K-RVEA, which is suitable for computationally expensive problems. We use surrogate models to replace the original expensive objective functions to reduce the computation time. Typically, in interactive methods, a decision maker provides some preferences iteratively and the optimization algorithm narrows the search according to those preferences. However, working with surrogate model swill introduce some inaccuracy to the preferences, and therefore, it would be desirable that the decision maker can work with the solutions that are evaluated with the original objective functions. Therefore, we propose a novel…

computationally expensive problemsmodel managementLVI-suunnittelurakennussuunnitteluenergiajärjestelmätsurrogate-assisted optimizationmultiobjective optimizationpäätöksentukijärjestelmätevolutionary interactive methodsmonitavoiteoptimointi
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Development of Neural Network Prediction Models for the Energy Producibility of a Parabolic Dish: A Comparison with the Analytical Approach

2022

Solar energy is one of the most widely exploited renewable/sustainable resources for electricity generation, with photovoltaic and concentrating solar power technologies at the forefront of research. This study focuses on the development of a neural network prediction model aimed at assessing the energy producibility of dish–Stirling systems, testing the methodology and offering a useful tool to support the design and sizing phases of the system at different installation sites. Employing the open-source platform TensorFlow, two different classes of feedforward neural networks were developed and validated (multilayer perceptron and radial basis function). The absolute novelty of this approac…

concentrating solar powerSettore ING-IND/11 - Fisica Tecnica AmbientaleControl and Optimizationneural networkRenewable Energy Sustainability and the EnvironmentEnergy Engineering and Power TechnologyBuilding and ConstructionSolar energysolar energy; concentrating solar power; dish–Stirling; neural network; energy performance forecastingenergy performance forecastingdish–StirlingElectrical and Electronic EngineeringEngineering (miscellaneous)Energy (miscellaneous)Energies; Volume 15; Issue 24; Pages: 9298
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Second order optimality conditions with applications

2007

International audience; The aim of this article is to present the algorithm to compute the first conjugate point along a smooth extremal curve. Under generic assump- tions, the tra jectory ceases to be optimal at such a point. An implementation of this algorithm, called cotcot, is available online and based on recent devel- opments in geometric optimal control. It is applied to analyze the averaged optimal transfer of a satellite between elliptic orbits.

conjugate points[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]time optimal control49K15 70Q05Orbital transfer[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC][MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]Riemannian systems with drift
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Second order optimality conditions in optimal control with applications

2006

The aim of this article is to present the algorithm to compute the first conjugate point along a smooth extremal curve. Under generic assumptions, the trajectory ceases to be optimal at such a point. An implementation of this algorithm, called \texttt{cotcot}, is available online and based on recent developments in geometric optimal control. It is applied to analyze the averaged optimal transfer of a satellite between elliptic orbits.

conjugate points[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]time optimal control49K15 70Q05orbital transfer[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC][MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]Riemannian systems with drift
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An effective approach for the maintenance scheduling in large systems with required reliability level: A case study

2015

This paper deals with the problem of the maintenance scheduling in a multi-component system for which a required reliability level has to be warranted until the next planned stop for maintenance. Particularly, the tackled problem concerns both the determination of the elements set on which to perform preventive maintenance and the optimal number of maintenance crews in order to warranty the required reliability level at the minimum maintenance cost. The problem is formulated as a mathematical programming model that becomes very hard to solve for large practical systems. For such reason, a new effective approach based on a constrained genetic algorithm is herein proposed and tested with refe…

constrained genetic algorithmSettore ING-IND/17 - Impianti Industriali Meccanicimathematical programming modelMaintenance scheduling optimizationSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazioneseries–parallel system
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Mixed Integer Optimal Compensation: Decomposition and Mean-Field Approximations

2012

control optimization
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The Acceptable Alternative Vehicle Fuel Price

2019

Historically, petroleum fuels have been the dominant fuel used for land transport. However, the growing need for sustainable national economics has urged us to incorporate more economical and ecological alternative vehicle fuels. The advantages and disadvantages of them complicate the decision-making process and compel us to develop adequate mathematical methods. Alternative fuel (compressed natural gas, liquefied petroleum gas, and ethanol fuel mixtures), the standard prices and their ratios were investigated. A mathematical model to determine a critical ratio between alternative and conventional fuel prices had already been developed. The results of this were investigated. The results sho…

conventional fuelalternative fuel; conventional fuel; investment; lifetime; efficiency; mathematical modelControl and Optimization020209 energyEnergy Engineering and Power Technologyalternative fuel02 engineering and technology010501 environmental sciences01 natural sciencesLiquefied petroleum gaslcsh:Technologychemistry.chemical_compoundLand transport0202 electrical engineering electronic engineering information engineeringEthanol fuelElectrical and Electronic EngineeringEngineering (miscellaneous)0105 earth and related environmental scienceslifetimeWaste managementRenewable Energy Sustainability and the Environmentlcsh:TinvestmentCompressed natural gasInvestment (macroeconomics)chemistryBiofuelefficiencyFuel efficiencyEnvironmental sciencePetroleummathematical modelEnergy (miscellaneous)Energies
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