Search results for "Optimization"

showing 10 items of 2824 documents

Blind deconvolution using TV regularization and Bregman iteration

2005

In this paper we formulate a new time dependent model for blind deconvolution based on a constrained variational model that uses the sum of the total variation norms of the signal and the kernel as a regularizing functional. We incorporate mass conservation and the nonnegativity of the kernel and the signal as additional constraints. We apply the idea of Bregman iterative regularization, first used for image restoration by Osher and colleagues [S.J. Osher, M. Burger, D. Goldfarb, J.J. Xu, and W. Yin, An iterated regularization method for total variation based on image restoration, UCLA CAM Report, 04-13, (2004)]. to recover finer scales. We also present an analytical study of the model disc…

Blind deconvolutionDeblurringMathematical optimizationBregman divergenceTotal variation denoisingRegularization (mathematics)Electronic Optical and Magnetic MaterialsKernel (image processing)Iterated functionApplied mathematicsComputer Vision and Pattern RecognitionElectrical and Electronic EngineeringSoftwareImage restorationMathematicsInternational Journal of Imaging Systems and Technology
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A time evolution model for total-variation based blind deconvolution

2007

Departamento Matematica Aplicada, Universidad de Valencia, Burjassot 46100, Spain.We propose a time evolution model for total-variation based blind deconvolution consisting of two evolution equations evolv-ing the signal by means of a nonlinear scale space method and the kernel by using a diffusion equation starting from the zerosignal and a delta function respectively. A preliminary numerical test consisting of blind deconvolution of a noiseless blurredimage is presented.

Blind deconvolutionMathematical optimizationNonlinear systemsymbols.namesakeDiffusion equationKernel (image processing)symbolsTime evolutionApplied mathematicsDirac delta functionNumerical testsMathematicsScale spacePAMM
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Ancillary Services in the Energy Blockchain for Microgrids

2019

The energy blockchain is a distributed Internet protocol for energy transactions between nodes of a power system. Recent applications of the energy blockchain in microgrids only consider the energy transactions between peers without considering the technical issues that can arise, especially when the system is islanded. One contribution of the paper is, thus, to depict a comprehensive framework of the technical and economic management of microgrids in the blockchain era, considering, for the first time, the provision of ancillary services and, in particular, of the voltage regulation service. When more PV nodes are operating in the grid, large reactive power flows may appear in the branches…

BlockchainComputer science020209 energyDistributed computingdis- tributed generation02 engineering and technologyIndustrial and Manufacturing EngineeringElectric power system0202 electrical engineering electronic engineering information engineeringRemunerationElectrical and Electronic Engineeringenergy blockchainGlow- worm Swarm Optimization.Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniP2PSettore ING-INF/03 - Telecomunicazioni020208 electrical & electronic engineeringTransactive energyAC powerGridSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaControl and Systems EngineeringOptimal reactive power flowMicrogridVoltage regulationDatabase transaction
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Robust Allocation Rules in Dynamical Cooperative TU Games

2011

Robust dynamic coalitional TU games are repeated TU games where the values of the coalitions are unknown but bounded variables. We set up the game supposing that the Game Designer uses a vague measure of the extra reward that each coalition has received up to the current time to re-adjust the allocations among the players. As main result, we provide a constructive method for designing allocation rules that converge to the core of the average game. Both the set up and the solution approach also provide an insight on commonalities between coalitional games and stability theory.

Bondareva–Shapley theoremgame theoryMathematical optimizationSequential gameComputer scienceComputingMilieux_PERSONALCOMPUTINGCombinatorial game theoryTheoryofComputation_GENERALConstructiveBounded functionRepeated gameVideo game designGame theoryMathematical economics
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Boosting Design Space Explorations with Existing or Automatically Learned Knowledge

2012

During development, processor architectures can be tuned and configured by many different parameters. For benchmarking, automatic design space explorations (DSEs) with heuristic algorithms are a helpful approach to find the best settings for these parameters according to multiple objectives, e.g. performance, energy consumption, or real-time constraints. But if the setup is slightly changed and a new DSE has to be performed, it will start from scratch, resulting in very long evaluation times. To reduce the evaluation times we extend the NSGA-II algorithm in this article, such that automatic DSEs can be supported with a set of transformation rules defined in a highly readable format, the fuz…

Boosting (machine learning)Fuzzy ruleFuzzy Control LanguageComputer scienceDecision treeBenchmarkingData miningEnergy consumptionGridcomputer.software_genreMulti-objective optimizationcomputercomputer.programming_language
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Some Optimization Problems

2013

In this chapter, the problems of safety analysis and optimization of a moving elastic plate travelling between two rollers at a constant axial velocity are considered. We will use a model of a thin elastic plate subjected to bending and in-plane tension (distributed membrane forces). We will study transverse buckling (divergence) of the plate and its brittle and fatigue fracture caused by fatigue crack growth under cyclic in-plane tension (loading). Our aim is to find the safe ranges of velocities of an axially moving plate analytically under the constraints of longevity and stability. In the end of this chapter, the expressions for critical buckling velocity and the number of cycles before…

BrittlenessOptimization problemBucklingTension (physics)Fracture (geology)MechanicsBendingParis' lawAxial symmetryMathematics
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Optimization of the characteristic angles of both front and rear McPherson suspensions on a circular track using multi-body numerical simulation

2009

The research reported in this paper aims to simulate the road-holding of a virtual vehicle using multi-body simulation to estimate both the contact forces between the tyre and ground and the roll motion when cornering. Furthermore, the effect of the characteristic angles on the variation in the forces of the tyre in contact with the ground is studied to determine optimal values for these angles. Emphasis is placed on an average-class vehicle, of which both the external dimensions and mass are chosen appropriately, with a McPherson suspension mounted on both the front and the rear. The characteristic values of the camber and toe-in angles, in both the front and the rear, are optimized for m…

Camber angleEngineeringComputer simulationbusiness.industryMechanical EngineeringAerospace EngineeringStructural engineeringToecamber toe-in McPherson optimization of the characteristic angleContact forceVehicle dynamicsSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineContact mechanicsCamber (ship)businessSuspension (vehicle)Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
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The mixed capacitated general routing problem with turn penalties

2011

In this paper we deal with the mixed capacitated general routing problem with turn penalties. This problem generalizes many important arc and node routing problems, and it takes into account turn penalties and forbidden turns, which are crucial in many real-life applications, such as mail delivery, waste collection and street maintenance operations. Through a polynomial transformation of the considered problem into a Generalized Vehicle routing problem, we suggest a new approach for solving this new problem by transforming it into an Asymmetric Capacitated Vehicle routing problem. In this way, we can solve the new problem both optimally and heuristically using existing algorithms. A powerfu…

Capacitated vehicle routing problemMathematical optimizationRouting problemsPolynomial transformationReal-life applicationsTurn penaltiesCapacitated general routing problemRouting algorithmsVehicle Routing ProblemsTransformationPolynomial transformationsArtificial IntelligenceVehicle routing problemDestination-Sequenced Distance Vector routingGeneral routing problemMathematicsta113Average deviationStatic routingWaste collectionNode (networking)General EngineeringSolution methodsMaintenance operationsVehicle routingComputer Science ApplicationsMemetic algorithmsBenchmark (computing)Network routingMemetic algorithmRouting (electronic design automation)MATEMATICA APLICADAAlgorithmsExpert Systems with Applications
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A Simulation Analysis of the Microstructure of an Order Driven Financial Market with Multiple Securities and Portfolio Choices

2005

In this paper we propose an artificial market where multiple risky assets are exchanged. Agents are constrained by the availability of resources and trade to adjust their portfolio according to an exogenously given target portfolio. We model the trading mechanism as a continuous auction order-driven market. Agents are heterogeneous in terms of desired target portfolio allocations, but they are homogeneous in terms of trading strategies. We investigate the role played by the trading mechanism in affecting the dynamics of prices, trading volume and volatility. We show that the institutional setting of a double auction market is sufficient to generate a non-normal distribution of price changes…

Capital market lineMarket microstructurecomputer.software_genreMicroeconomicsPortfolio insuranceReplicating portfolioEconomicsPortfolioTrading strategyartificial market heterogeneous agents trading mechanism double auction marketAlgorithmic tradingPortfolio optimizationGeneral Economics Econometrics and FinancecomputerFinance
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What You Should Know About Carbon Markets

2008

Since the entry into force of the Kyoto Protocol, carbon trading has been in continuous expansion. In this paper, we review the origins of carbon trading in order to understand how carbon trading works in Europe and, specifically, the functioning of the European Union Emission Trading Scheme (EU ETS) and the workings of several spot, futures and options markets where European Union Allowances are traded. As well, the linking of the EU ETS with the other United Nations carbon markets is also studied.

Carbon MarketsControl and OptimizationEnergy Engineering and Power TechnologyEuropean Union Emission Trading Schemelcsh:Technologyjel:Q40Clean Development MechanismEmission TradingOrder (exchange)jel:Qjel:Q43jel:Q42jel:Q41jel:Q48media_common.cataloged_instancejel:Q47Electrical and Electronic EngineeringCarbon creditEuropean unionEuropean Union AllowancesEngineering (miscellaneous)jel:Q49media_commonlcsh:TRenewable Energy Sustainability and the Environmentjel:Q0International economicsjel:Q4Emission Trading; European Union Allowances; Carbon MarketsKyoto ProtocolBusinessEmissions tradingFutures contractEnergy (miscellaneous)Energies
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