Search results for " optimization."

showing 10 items of 2333 documents

Scatter search for the profile minimization problem

2014

We study the problem of minimizing the profile of a graph and develop a solution method by following the tenets of scatter search. Our procedure exploits the network structure of the problem and includes strategies that produce a computationally efficient and agile search. Among several mechanisms, our search includes path relinking as the basis for combining solutions to generate new ones. The profile minimization problem PMP is NP-Hard and has relevant applications in numerical analysis techniques that rely on manipulating large sparse matrices. The problem was proposed in the early 1970s but the state-of-the-art does not include a method that could be considered powerful by today's compu…

Mathematical optimizationBasis (linear algebra)ExploitComputer Networks and CommunicationsComputer scienceNumerical analysisHardware and ArchitecturePath (graph theory)Graph (abstract data type)MetaheuristicSoftwareInformation SystemsSparse matrixEnvelope (motion)Networks
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Bayesian estimation of edge orientations in junctions

1999

Abstract Junctions, defined as those points of an image where two or more edges meet, play a significant role in many computer vision applications. Junction detection is a widely treated problem, and some detectors can provide even the directions of the edges that meet in a junction. The main objective of this paper is the precise estimation of such directions. It is supposed that the junction point has been previously found by some detector. Also, it is assumed that samples, possibly noisy, of orientations of the edges found in a circular window surrounding the point are available. A mixture of von Mises distributions is assumed for these data, and then a Bayesian methodology is applied to…

Mathematical optimizationBayes estimatorBayesian probabilityDetectorPosterior probabilityMarkov chain Monte CarloExpected valueReal imagesymbols.namesakeArtificial IntelligenceSignal ProcessingsymbolsPoint (geometry)Computer Vision and Pattern RecognitionAlgorithmSoftwareMathematicsPattern Recognition Letters
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Skeletizing 3D-Objects by Projections

2004

Skeletization is used to simplify an object and to give an idea of the global shape of an object. This paper concerns the continuous domain. While many methods already exist, they are mostly applied in 2D-space. We present a new method to skeletize the polygonal approximation of a 3D-object, based on projections and 2D-skeletization from binary trees.

Mathematical optimizationBinary treeDelaunay triangulationPolygonal chainSpace (commercial competition)Object (computer science)AlgorithmMathematicsDomain (software engineering)
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EXPERIMENTAL PROPAGATION FAILURE IN A NONLINEAR ELECTRICAL LATTICE

2004

We consider an experimental setup, modeling the FitzHugh–Nagumo equation without recovery term and composed of a nonlinear electrical network made up of discrete bistable cells, resistively coupled. In the first place, we study experimentally the propagation of topological fronts in the continuum limit where the analytical solution can be obtained. We show that experimental results match the theoretical predictions. The discrete case is then investigated theoretically and in the lattice, emphasizing the pinning of traveling waves.

Mathematical optimizationBistabilityApplied MathematicsNonlinear latticeMechanicslaw.inventionNonlinear systemlawModeling and SimulationLattice (order)Electrical networkTraveling waveEngineering (miscellaneous)MathematicsInternational Journal of Bifurcation and Chaos
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A multi-objective genetic algorithm for cardinality constrained fuzzy portfolio selection

2012

This paper presents a new procedure that extends genetic algorithms from their traditional domain of optimization to fuzzy ranking strategy for selecting efficient portfolios of restricted cardinality. The uncertainty of the returns on a given portfolio is modeled using fuzzy quantities and a downside risk function is used to describe the investor's aversion to risk. The fitness functions are based both on the value and the ambiguity of the trapezoidal fuzzy number which represents the uncertainty on the return. The soft-computing approach allows us to consider uncertainty and vagueness in databases and also to incorporate subjective characteristics into the portfolio selection problem. We …

Mathematical optimizationCardinalityComputer Science::Computational Engineering Finance and ScienceArtificial IntelligenceLogicDownside riskPortfolioFuzzy set operationsFuzzy numberPost-modern portfolio theoryPortfolio optimizationFuzzy logicMathematicsFuzzy Sets and Systems
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Fuzzy portfolio selection based on the analysis of efficient frontiers

2011

We present an algorithm for analyzing the geometry of the efficient frontier of the portfolio selection problem with semicontinuous variable and cardinality constraints, and use it as a basis to solve a fuzzy version of the problem, designed to obtain efficient portfolios, in the Markowitz's sense, for which the trade-off between expected return and assumed risk fits better the investor's subjective criteria. We illustrate our proposal with an example solved with LINGO and Mathematica.

Mathematical optimizationCardinalityFuzzy setMathematics::Optimization and ControlPortfolioFuzzy numberFuzzy set operationsEfficient frontierStatistics::Other StatisticsPortfolio optimizationFuzzy logicMathematics2011 11th International Conference on Intelligent Systems Design and Applications
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Nonmonotone Saturation Profiles for Hydrostatic Equilibrium in Homogeneous Porous Media

2012

Nonmonotonic saturation profiles (saturation overshoot) occur as travelling waves in gravity driven fingering. They seem important for preferential flow mechanisms and have found much attention recently. Here, we predict them even for hydrostatic equilibrium when all velocities vanish. We suggest that hysteresis suffices to explain the effect. Recently, the observation of nonmonotonicity of traveling wave solutions for saturation profiles during constant-flux infiltration experiments has highlighted the shortcomings of the traditional, seventy year old mathematical model for immiscible displacement in porous media. Several recent modifications have been proposed to explain these observation…

Mathematical optimizationChemistrySoil ScienceObservableMechanicsPreferential flowlaw.inventionMonotone polygonColumn experimentlawHomogeneousHydrostatic equilibriumPorous mediumSaturation (chemistry)Vadose Zone Journal
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State-Feedback Stabilization for a Class of Stochastic Feedforward Nonlinear Time-Delay Systems

2013

We investigate the state-feedback stabilization problem for a class of stochastic feedforward nonlinear time-delay systems. By using the homogeneous domination approach and choosing an appropriate Lyapunov-Krasovskii functional, the delay-independent state-feedback controller is explicitly constructed such that the closed-loop system is globally asymptotically stable in probability. A simulation example is provided to demonstrate the effectiveness of the proposed design method.

Mathematical optimizationClass (computer programming)Article SubjectApplied Mathematicslcsh:MathematicsFeed forwardState (functional analysis)lcsh:QA1-939Nonlinear systemControl theoryHomogeneousStability theoryAnalysisMathematicsAbstract and Applied Analysis
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A Proximal Solution for a Class of Extended Minimax Location Problem

2005

We propose a proximal approach for solving a wide class of minimax location problems which in particular contains the round trip location problem. We show that a suitable reformulation of the problem allows to construct a Fenchel duality scheme the primal-dual optimality conditions of which can be solved by a proximal algorithm. This approach permits to solve problems for which distances are measured by mixed norms or gauges and to handle a large variety of convex constraints. Several numerical results are presented.

Mathematical optimizationClass (set theory)Optimality criterionComputer scienceScheme (mathematics)1-center problemRegular polygonMinimax problemConstruct (python library)Variety (universal algebra)Minimax
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Error Estimates of Uzawa Iteration Method for a Class of Bingham Fluids

2015

The paper is concerned with fully guaranteed and computable bounds of errors generated by Uzawa type methods for variational problems in the theory of visco-plastic fluids. The respective estimates have two forms. The first form contains global constants (such as the constant in the Friedrichs inequality for the respective domain), and the second one is based upon decomposition of the domain into a collection of subdomains and uses local constants associated with subdomains.

Mathematical optimizationClass (set theory)Uzawa iterationApplied mathematicsFriedrichs' inequalityType (model theory)Constant (mathematics)Bingham plasticDomain (mathematical analysis)Mathematics
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