Search results for "APPROXIMATION"

showing 10 items of 818 documents

A Surrogate-assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-objective Optimization

2018

We propose a surrogate-assisted reference vector guided evolutionary algorithm for computationally expensive optimization problems with more than three objectives. The proposed algorithm is based on a recently developed evolutionary algorithm for many-objective optimization that relies on a set of adaptive reference vectors for selection. The proposed surrogateassisted evolutionary algorithm uses Kriging to approximate each objective function to reduce the computational cost. In managing the Kriging models, the algorithm focuses on the balance of diversity and convergence by making use of the uncertainty information in the approximated objective values given by the Kriging models, the distr…

Pareto optimalityPareto-tehokkuus0209 industrial biotechnologyMathematical optimizationOptimization problemComputer sciencemodel managementpäätöksentekoEvolutionary algorithmInteractive evolutionary computation02 engineering and technologyEvolutionary computationTheoretical Computer Science020901 industrial engineering & automationKrigingalgoritmit0202 electrical engineering electronic engineering information engineeringvektorit (matematiikka)multiobjective optimizationcomputational costsurrogate-assisted evolutionary algorithmsBayesian optimizationta113Cultural algorithmpareto-tehokkuusbayesilainen menetelmäta111Approximation algorithmImperialist competitive algorithmmonitavoiteoptimointiKrigingkoneoppiminenComputational Theory and Mathematics020201 artificial intelligence & image processingreference vectorsSoftwareIEEE Transactions on Evolutionary Computation
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Approximation through interpolation in nonconvex multiobjective optimization

2011

Pareto optimalityohjelmistotinteractive decision makingPAINTsurrogate problemoptimointiPareto front approximationtietokoneohjelmatmultiobjective optimizationcomputational costatk-ohjelmatyhteissuunnitteluvuorovaikutteisuus
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Approximation method for computationally expensive nonconvex multiobjective optimization problems

2012

Pareto-tehokkuusPareto optimalitycomputational efficiencyPareto front approximationpäätöksentekodecision makerpsychological convergencemonitavoiteoptimointilaskennallinen vaativuussurrogate functioninteractive decision makingmenetelmätPareto-optimointioptimointilaskennalliset menetelmätmultiobjective optimizationPareto dominancyapproksimointicomputational cost
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M/M/1 queue in two alternating environments and its heavy traffic approximation

2018

We investigate an M/M/1 queue operating in two switching environments, where the switch is governed by a two-state time-homogeneous Markov chain. This model allows to describe a system that is subject to regular operating phases alternating with anomalous working phases or random repairing periods. We first obtain the steady-state distribution of the process in terms of a generalized mixture of two geometric distributions. In the special case when only one kind of switch is allowed, we analyze the transient distribution, and investigate the busy period problem. The analysis is also performed by means of a suitable heavy-traffic approximation which leads to a continuous random process. Its d…

Partial differential equationMarkov chainDistribution (number theory)Stochastic processApplied MathematicsProbability (math.PR)010102 general mathematicsMathematical analysisM/M/1 queue60K25 60K37 60J60 60J70Heavy traffic approximation01 natural sciencesSteady-state distribution010104 statistics & probabilityDiffusion approximationFOS: MathematicsAlternating Wiener process0101 mathematicsFirst-hitting-time modelSteady-state distribution; First-passage time; Diffusion approximation; Alternating Wiener processQueueMathematics - ProbabilityAnalysisFirst-passage timeMathematicsJournal of Mathematical Analysis and Applications
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Identification of Distributed Systems with Logical Interaction Structure

2012

This paper focuses on the structure identification problem for a class of networked systems, where the interaction among components or agents is described through logical maps. In particular, agents are heterogeneous cooperating systems, i.e. they may have different individual dynamics and different interaction rules depending on input events. While we assume that the individual agents' dynamics are known, each agent has partial knowledge of the logical map encoding the interaction of another agent with its neighbors. Based on the so-called algebraic normal form for binary functions, we present a technique by which the network structure described by a logical function can be dynamically est…

Partial knowledgeTheoretical computer scienceInteraction ruleDistributed computingBinary numberClass (philosophy)Individual dynamicAlgebraic normal formLogical functionAlgebraic normal forms; Binary functions; Cooperating systems; Distributed systems; Individual agent; Individual dynamics; Interaction rules; Interaction structures; Logical functions; Logical maps; Lower approximation; Network structures; Networked systems; Partial knowledge; Real systems; Structure identification; Truth tablesBinary functionSettore ING-INF/04 - AutomaticaLogical mapMathematicsCooperating systemStructure (mathematical logic)Networked systemStructure identificationTruth tablesTruth tableMobile robotReal systemParameter identification problemAlgebraic normal formIdentification (information)Lower approximationInteraction structureIndividual agentDistributed systemNetwork structure
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Sensitivities to neutrino electromagnetic properties at the TEXONO experiment

2015

18 pages.- 4 figures.- 1 table

Particle physicsNuclear and High Energy PhysicsQuenching factorCoherent elastic neutrino-nucleus scatteringReactor neutrinosPhysics beyond the Standard ModelFOS: Physical sciencesWeak interactionNuclear physicsHigh Energy Physics - Phenomenology (hep-ph)Charge radiusNeutrino oscillationPhysicsNeutral currentScatteringFísicalcsh:QC1-999Neutrino magnetic momentHigh Energy Physics - PhenomenologyCoherent elastic neutrino–nucleus scattering (CENNS)Neutrino charge radiusNeutrinoRandom phase approximationWeak mixing anglelcsh:PhysicsPhysics Letters B
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Measurement of e+e−→π+π−ψ(3686) from 4.008 to 4.600 GeV and observation of a charged structure in the π±ψ(3686) mass spectrum

2018

We study the process e(+)e(-) -> p(+)p(-)psi(3686) using 5.1 fb(-1) of data collected at 16 center-of-mass energy (root s) points from 4.008 to 4.600 GeV by the BESIII detector operating at the BEPCII collider. The measured Born cross sections for e(+)e(-) -> p(+)p(-)psi(3686) are consistent with previous results, but with much improved precision. A fit to the cross section shows contributions from two structures: the first has M = 4209.5 +/- 7.4 +/- 1.4 MeV/c(2) and Gamma = 80.1 +/- 24.6 +/- 2.9 MeV, and the second has M = 4383.8 +/- 4.2 +/- 0.8 MeV/c(2) and Gamma = 84.2 +/- 12.5 +/- 2.1 MeV, where the first errors are statistical and the second systematic. The lower-mass resonance is obse…

Particle physicsPhotonMesonElectron–positron annihilationGeneral Physics and AstronomyDalitz plot01 natural sciencesResonance (particle physics)law.inventionMomentumNuclear physicslaw0103 physical sciencesPiIntermediate stateInvariant massBorn approximationNuclear Experiment010306 general physicsColliderQuantum chromodynamicsPhysicsLuminosity (scattering theory)Linear polarization010308 nuclear & particles physicsSigmaMagnetic fieldAntimatterIsospinMass spectrumHigh Energy Physics::ExperimentAtomic physicsPhysical Review D
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Fitting particle size distribution models to data from Burundian soils for the BEST procedure and other purposes

2009

Testing the Beerkan Estimation of Soil Transfer (BEST) soil particle size distribution (PSD) model is necessary to evaluate the applicability of the BEST procedure for characterising soil hydraulics. In this investigation, the fitting performance of the BEST PSD model was tested using a database of 114 Burundian soils with 14 measured particle size fractions for each soil sample, and also by considering a reduced number of measured particle size fractions for a sample. The fitting performance of the model developed by Fredlund et al. (2000) (FR model) was also considered for comparative purposes. On average, the BEST model yielded satisfactory results (i.e., mean relative error, E r ¯ = 3.9…

Particle-size distributionSoil textureBurundiSimulation modelingSoil ScienceDistribution (mathematics)Soil hydraulic propertieControl and Systems EngineeringApproximation errorParticle-size distribution modelSoil classificationStatisticsSoil waterParticle-size distributionSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliSize fractionsParticle sizeAgronomy and Crop ScienceFood ScienceMathematicsBiosystems Engineering
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A Seven Mode Truncation of the Kolmogorov Flow with Drag: Analysis and Control

2009

The transition from laminar to chaotic motions in a viscous °uid °ow is in- vestigated by analyzing a seven dimensional dynamical system obtained by a truncation of the Fourier modes for the Kolmogorov °ow with drag friction. An- alytical expressions of the Hopf bifurcation curves are obtained and a sequence of period doubling bifurcations are numerically observed as the Reynolds num- ber is increased for ¯xed values of the drag parameter. An adaptive stabilization of the system trajectories to an equilibrium point or to a periodic orbit is ob- tained through a model reference approach which makes the control global. Finally, the e®ectiveness of this control strategy is numerically illustra…

Period-doubling bifurcationEquilibrium pointHopf bifurcationTruncationMathematical analysisReynolds numberLaminar flowDynamical systemPhysics::Fluid Dynamicssymbols.namesakeClassical mechanicsDragsymbolsKolmogorov flow finite dimensional approximation adaptive controlMathematics
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Quantitative prediction of effective material properties of heterogeneous media

1999

Effective electrical conductivity and electrical permittivity of water-saturated natural sandstones are evaluated on the basis of local porosity theory (LPT). In contrast to earlier methods, which characterize the underlying microstructure only through the volume fraction, LPT incorporates geometric information about the stochastic microstructure in terms of local porosity distribution and local percolation probabilities. We compare the prediction of LPT and of traditional effective medium theory with the exact results. The exact results for the conductivity and permittivity are obtained by solving the microscopic mixed boundary value problem for the Maxwell equations in the quasistatic app…

PermittivityPhysicsGeneral Computer ScienceGeneral Physics and AstronomyThermodynamicsGeneral ChemistryComputational Mathematicssymbols.namesakeQuasistatic approximationMaxwell's equationsMechanics of MaterialsPercolationsymbolsGeneral Materials ScienceStatistical physicsBoundary value problemMaterial propertiesPorous mediumPorosityComputational Materials Science
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