Search results for " solution"

showing 10 items of 3084 documents

A Simple Indicator Based Evolutionary Algorithm for Set-Based Minmax Robustness

2018

For multiobjective optimization problems with uncertain parameters in the objective functions, different variants of minmax robustness concepts have been defined in the literature. The idea of minmax robustness is to optimize in the worst case such that the solutions have the best objective function values even when the worst case happens. However, the computation of the minmax robust Pareto optimal solutions remains challenging. This paper proposes a simple indicator based evolutionary algorithm for robustness (SIBEA-R) to address this challenge by computing a set of non-dominated set-based minmax robust solutions. In SIBEA-R, we consider the set of objective function values in the worst c…

Mathematical optimization021103 operations researchSIBEA uncertaintyComputer sciencepareto-tehokkuusComputation0211 other engineering and technologiesEvolutionary algorithm02 engineering and technologyMinimaxmonitavoiteoptimointihypervolumeminmax robustRobustness (computer science)set-based dominancealgoritmit0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingPareto optimal solutions
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Error Estimates for a Class of Elliptic Optimal Control Problems

2016

In this article, functional type a posteriori error estimates are presented for a certain class of optimal control problems with elliptic partial differential equation constraints. It is assumed that in the cost functional the state is measured in terms of the energy norm generated by the state equation. The functional a posteriori error estimates developed by Repin in the late 1990s are applied to estimate the cost function value from both sides without requiring the exact solution of the state equation. Moreover, a lower bound for the minimal cost functional value is derived. A meaningful error quantity coinciding with the gap between the cost functional values of an arbitrary admissible …

Mathematical optimizationControl and OptimizationNumerical analysis010102 general mathematicsta111010103 numerical & computational mathematicsOptimal control01 natural sciencesUpper and lower boundsComputer Science ApplicationsExact solutions in general relativityElliptic partial differential equationerror estimatesNorm (mathematics)Signal ProcessingA priori and a posterioriNumerical testselliptic optimal control problems0101 mathematicsAnalysisMathematics
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Analytic solutions of the diffusion-deposition equation for fluids heavir than atmospheric air

2008

A steady-state bi-dimensional turbulent diffusion equation was studied to find the concentration distribution of a pollutant near the ground. We have considered the air pollutant emitted from an elevated point source in the lower atmosphere in adiabatic conditions. The wind velocity and diffusion coefficient are given by power laws. We have found analytical solutions using or the Lie Group Analysis or the Method of Separation of Variables. The classical diffusion equation has been modified introducing the falling term with non-zero deposition velocity. Analytical solutions are essential to test numerical models for the great difficulty in validating with experiments.

Mathematical optimizationMaterials scienceTurbulent diffusionDiffusion equationDeposition (aerosol physics)Analytic solutions Diffusion-deposition equationSeparation of variablesMechanicsDiffusion (business)Adiabatic processPower lawSettore MAT/07 - Fisica MatematicaWind speed
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An Interactive Evolutionary Multiobjective Optimization Method: Interactive WASF-GA

2015

In this paper, we describe an interactive evolutionary algorithm called Interactive WASF-GA to solve multiobjective optimization problems. This algorithm is based on a preference-based evolutionary multiobjective optimization algorithm called WASF-GA. In Interactive WASF-GA, a decision maker (DM) provides preference information at each iteration simple as a reference point consisting of desirable objective function values and the number of solutions to be compared. Using this information, the desired number of solutions are generated to represent the region of interest of the Pareto optimal front associated to the reference point given. Interactive WASF-GA implies a much lower computational…

Mathematical optimizationOptimization problemMultiobjective programmingComputer scienceEvolutionary algorithmReference point approachInteractive evolutionary computationPareto optimal solutionsEvolutionary algorithmsPreference (economics)AlgorithmMulti-objective optimizationInteractive methods
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Optimal Impulse Control When Control Actions Have Random Consequences

1997

We consider a generalised impulse control model for controlling a process governed by a stochastic differential equation. The controller can only choose a parameter of the probability distribution of the consequence of his control action which is therefore random. We state optimality results relating the value function to quasi-variational inequalities and a formal optimal stopping problem. We also remark that the value function is a viscosity solution of the quasi-variational inequalities which could lead to developments and convergence proofs of numerical schemes. Further, we give some explicit examples and an application in financial mathematics, the optimal control of the exchange rate…

Mathematical optimizationStochastic differential equationControl theoryGeneral MathematicsBellman equationMathematical financeProbability distributionOptimal stoppingManagement Science and Operations ResearchViscosity solutionOptimal controlComputer Science ApplicationsMathematicsMathematics of Operations Research
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Robust model calibration using determinist and stochastic performance metrics

2016

International audience; The aeronautics industry has benefited from the use of numerical models to supplement or replace the costly design-build-test paradigm. These models are often calibrated using experimental data to obtain optimal fidelity-to-data but compensating effects between calibration parameters can complicate the model selection process due to the non-uniqueness of the solution. One way to reduce this ambiguity is to include a robustness requirement to the selection criteria. In this study, the info-gap decision theory is used to represent the lack of knowledge resulting from compensating effects and a robustness analysis is performed to investigate the impact of uncertainty on…

Mathematical optimizationTurbine bladeComputer scienceDecision theorymedia_common.quotation_subjectRobust solutionModel calibrationFidelityInfo-gap approach02 engineering and technology01 natural scienceslaw.invention010104 statistics & probabilitylawRobustness (computer science)0202 electrical engineering electronic engineering information engineering0101 mathematicsmedia_commonModel selectionPerformance metricUncertaintyExperimental dataAmbiguity[PHYS.MECA]Physics [physics]/Mechanics [physics]020201 artificial intelligence & image processingPerformance metric
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Short time existence of the classical solution to the fractional mean curvature flow

2019

Abstract We establish short-time existence of the smooth solution to the fractional mean curvature flow when the initial set is bounded and C 1 , 1 -regular. We provide the same result also for the volume preserving fractional mean curvature flow.

Mathematics - Differential Geometry01 natural sciencesclassical solutiondifferentiaaligeometriaMathematics - Analysis of PDEsfractional perimeterFOS: Mathematicsshort time existence0101 mathematicsMathematical PhysicsMathematicsosittaisdifferentiaaliyhtälötMean curvature flowApplied Mathematics010102 general mathematicsMathematical analysis010101 applied mathematicsVolume (thermodynamics)Differential Geometry (math.DG)Bounded functionfractional mean curvature flowFractional perimeterShort time existence53C44 35R11Mathematics::Differential GeometryClassical solutionAnalysisAnalysis of PDEs (math.AP)Fractional mean curvature flow
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The Calderon problem in transversally anisotropic geometries

2016

We consider the anisotropic Calderon problem of recovering a conductivity matrix or a Riemannian metric from electrical boundary measurements in three and higher dimensions. In the earlier work \cite{DKSaU}, it was shown that a metric in a fixed conformal class is uniquely determined by boundary measurements under two conditions: (1) the metric is conformally transversally anisotropic (CTA), and (2) the transversal manifold is simple. In this paper we will consider geometries satisfying (1) but not (2). The first main result states that the boundary measurements uniquely determine a mixed Fourier transform / attenuated geodesic ray transform (or integral against a more general semiclassical…

Mathematics - Differential GeometryGeodesicGeneral MathematicsBoundary (topology)Conformal map01 natural sciencessymbols.namesakeMathematics - Analysis of PDEsFOS: Mathematics[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]0101 mathematicsMathematicsCalderón problemRiemannian manifoldApplied Mathematicsta111010102 general mathematicsMathematical analysiscomplex geometrical optics solutionInverse problemRiemannian manifold010101 applied mathematicsboundary control methodFourier transformDifferential Geometry (math.DG)Transversal (combinatorics)Metric (mathematics)symbolsinverse boundary value problemAnalysis of PDEs (math.AP)
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Gradient regularity for elliptic equations in the Heisenberg group

2009

Abstract We give dimension-free regularity conditions for a class of possibly degenerate sub-elliptic equations in the Heisenberg group exhibiting super-quadratic growth in the horizontal gradient; this solves an issue raised in [J.J. Manfredi, G. Mingione, Regularity results for quasilinear elliptic equations in the Heisenberg group, Math. Ann. 339 (2007) 485–544], where only dimension dependent bounds for the growth exponent are given. We also obtain explicit a priori local regularity estimates, and cover the case of the horizontal p-Laplacean operator, extending some regularity proven in [A. Domokos, J.J. Manfredi, C 1 , α -regularity for p-harmonic functions in the Heisenberg group for …

Mathematics - Differential GeometryMathematics(all)Pure mathematicsp-LaplaceanGeneral MathematicsOperator (physics)Mathematical analysisDegenerate energy levelsHeisenberg groupWeak solutions35J60RegularityElliptic operatorMathematics - Analysis of PDEsDifferential Geometry (math.DG)Cover (topology)Euclidean geometryFOS: MathematicsHeisenberg groupExponentLinear equationAnalysis of PDEs (math.AP)MathematicsAdvances in Mathematics
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Discontinuous solutions of linear, degenerate elliptic equations

2008

Abstract We give examples of discontinuous solutions of linear, degenerate elliptic equations with divergence structure. These solve positively conjectures of De Giorgi.

Mathematics(all)Applied MathematicsGeneral MathematicsWeak solutionMathematical analysisDegenerate energy levelsStructure (category theory)Degenerate equationDegenerate elliptic equationsWeak solutionsElliptic curveDivergence (statistics)Linear equationContinuityMathematicsJournal de Mathématiques Pures et Appliquées
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