Search results for "Modeling and simulation"

showing 10 items of 1561 documents

One- and multi-locus multi-allele selection models in a random environment

1979

We deduce conditions for stochastic local stability of general perturbed linear stochastic difference equations widely applicable in population genetics. The findings are adapted to evaluate the stability properties of equilibria in classical one- and multi-locus multi-allele selection models influenced by random temporal variation in selection intensities. As an example of some conclusions and biological interpretations we analyse a special one-locus multi-allele model in more detail.

Mathematical optimizationApplied MathematicsModeling and SimulationStochastic difference equationsRandom environmentPopulation geneticsApplied mathematicsLocus (genetics)Stochastic optimizationAlleleQuantitative Biology::GenomicsAgricultural and Biological Sciences (miscellaneous)MathematicsJournal of Mathematical Biology
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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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The Multiple Multidimensional Knapsack with Family-Split Penalties

2021

Abstract The Multiple Multidimensional Knapsack Problem with Family-Split Penalties (MMdKFSP) is introduced as a new variant of both the more classical Multi-Knapsack and Multidimensional Knapsack Problems. It reckons with items categorized into families and where if an individual item is selected to maximize the profit, all the items of the same family must be selected as well. Items belonging to the same family can be assigned to different knapsacks; however, in this case, split penalties are incurred. This problem arises in resource management of distributed computing contexts and Service Oriented Architecture environments. An exact algorithm based on the exploitation of a specific combi…

Mathematical optimizationCombinatorial optimizationInformation Systems and ManagementGeneral Computer ScienceComputer scienceKnapsack Problem0211 other engineering and technologiesBenders’ cuts; Combinatorial optimization; Integer programming; Knapsack Problems; Resource assignmentResource assignment02 engineering and technologyManagement Science and Operations ResearchIndustrial and Manufacturing Engineering0502 economics and businessInteger programming050210 logistics & transportation021103 operations research05 social sciencesBenders’ cutInteger programmingSolverKnapsack ProblemsBenders’ cutsExact algorithmKnapsack problemModeling and SimulationCombinatorial optimizationEuropean Journal of Operational Research
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A penalty-based finite element interface technology

2002

Abstract An effective and robust interface element technology able to connect independently modeled finite element subdomains is presented. This method has been developed using the penalty constraints and allows coupling of finite element models whose nodes do not coincide along their common interface. Additionally, the present formulation leads to a computational approach that is very efficient and completely compatible with existing commercial software. A significant effort has been directed toward identifying those model characteristics (element geometric properties, material properties and loads) that most strongly affect the required penalty parameter, and subsequently to developing si…

Mathematical optimizationCommercial softwareEngineeringInterface (Java)Finite element limit analysisbusiness.industryMechanical EngineeringPenalty methodLagrange multiplierMixed finite element methodComposite laminatesTopologyFinite element methodComputer Science ApplicationsSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineFinite elementModeling and SimulationSubstructureGlobal/local analysiGeneral Materials SciencePenalty methodbusinessInterface elementCivil and Structural EngineeringExtended finite element methodComputers & Structures
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Numerical model of macro-segregation during directional crystallization process

1998

Abstract In the paper the mathematical model of macro-segregation proceeding during the directional crystallization process is presented. The boundary-initial problem considered is discussed. Next the numerical approximation constructed on the basis of the boundary element method supplemented by a procedure called the artificial heat source method is described. The boundary condition on the solidification front resulting from the alloy component balance is introduced, while in finally the practical aspects of computations concerning the course of the process are discussed.

Mathematical optimizationComputationMetals and AlloysMechanicsSingular boundary methodBoundary knot methodIndustrial and Manufacturing EngineeringComputer Science ApplicationsModeling and SimulationScientific methodCeramics and CompositesBoundary value problemMacroBoundary element methodNumerical stabilityMathematicsJournal of Materials Processing Technology
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SMAA - Stochastic multiobjective acceptability analysis

1998

Stochastic multiobjective acceptability analysis (SMAA) is a multicriteria decision support technique for multiple decision makers based on exploring the weight space. Inaccurate or uncertain input data can be represented as probability distributions. In SMAA the decision makers need not express their preferences explicitly or implicitly; instead the technique analyses what kind of valuations would make each alternative the preferred one. The method produces for each alternative an acceptability index measuring the variety of different valuations that support that alternative, a central weight vector representing the typical valuations resulting in that decision, and a confidence factor mea…

Mathematical optimizationDecision support systemInformation Systems and ManagementGeneral Computer ScienceStochastic modellingDecision theoryConfidence factorWeight spaceManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringVariety (cybernetics)Modeling and SimulationProbability distributionWeightMathematical economicsMathematicsEuropean Journal of Operational Research
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A NEW PROGRESSIVE DESIGN METHODOLOGY FOR COMPLEX SHEET METAL STAMPING OPERATIONS: COUPLING SPATIALLY DIFFERENTIATED RESTRAINING FORCES APPROACH AND M…

2010

The growing interest in sheet metal stamping processes, particularly in the automotive industry has led to three main issues in this field:*request of very complex shapes; *growing interest in springback control; *solution of multi-objective problems. These issues make a sheet metal stamping processes design very difficult and proper design methodologies to reduce times and costs are highly required. In this paper, a computer aided approach aiming to satisfy the mentioned issues is proposed. In particular, a progressive design approach based on the integration between numerical simulations, Response Surface Methodology (RSM) and Pareto optimal solutions search techniques was applied in orde…

Mathematical optimizationEngineeringbusiness.industryMechanical EngineeringPareto principleAutomotive industrymulti-objective optimisatiomrestraining forces stategyProcess designStampingSheet metal formingMulti-objective optimizationComputer Science ApplicationsspringbackModeling and SimulationDesign processGeneral Materials SciencebusinessEngineering design processDesign methodsSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneCivil and Structural Engineering
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Involving fuzzy orders for multi-objective linear programming

2012

This paper presents a solution approach for multi-objective linear programming problem. We propose to involve fuzzy order relations to describe the objective functions where in ”classical” fuzzy approach the membership functions which illustrate how far the concrete point is from the solution of individual problem are studied. Further the global fuzzy order relation is constructed by aggregating the individual fuzzy order relations. Thus the global fuzzy relation contains the information about all objective functions and in the last step we find a maximum in the set of constrains with respect to the global fuzzy order relation. We illustrate this approach by an example.

Mathematical optimizationFuzzy classificationMathematics::General MathematicsFuzzy setmulti-objective linear programmingfuzzy order relationType-2 fuzzy sets and systemsDefuzzificationModeling and SimulationFuzzy mathematicsQA1-939aggregation of fuzzy relationsFuzzy numberFuzzy set operationsMathematicsAnalysisMembership functionMathematicsMathematical Modelling and Analysis
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G1 rational blend interpolatory schemes: a comparative study

2012

Interpolation of triangular meshes is a subject of great interest in many computer graphics related applications, as, for example, gaming and realtime rendering. One of the main approaches to interpolate the positions and normals of the mesh vertices is the use of parametric triangular Bezier patches. As it is well known, any method aiming at constructing a parametric, tangent plane (G^1) continuous surface has to deal with the vertex consistency problem. In this article, we propose a comparison of three methods appeared in the nineties that use a particular technique called rational blend to avoid this problem. Together with these three methods we present a new scheme, a cubic Gregory patc…

Mathematical optimizationG1 local interpolationBézier triangleGregory patchBézier curveComputer Graphics and Computer-Aided DesignRendering (computer graphics)MAT/08 - ANALISI NUMERICAComputer graphicsComputer Science::GraphicsBézier triangleModeling and SimulationShape interrogationTriangle meshPolygon meshGeometry and TopologyRational blendAlgorithmSoftwareParametric statisticsMathematicsInterpolationComputingMethodologies_COMPUTERGRAPHICSTriangular mesh
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Reactive GRASP for the strip-packing problem

2008

This paper presents a greedy randomized adaptive search procedure (GRASP) for the strip packing problem, which is the problem of placing a set of rectangular pieces into a strip of a given width and infinite height so as to minimize the required height. We investigate several strategies for the constructive and improvement phases and several choices for critical search parameters. We perform extensive computational experiments with well-known instances which have been previously reported, first to select the best alternatives and then to compare the efficiency of our algorithm with other procedures. The results show that the GRASP algorithm outperforms recently reported metaheuristics.

Mathematical optimizationGeneral Computer ScienceBin packing problemGRASPManagement Science and Operations ResearchRandomized algorithmCutting stock problemModeling and SimulationCombinatorial optimizationGreedy algorithmMetaheuristicAlgorithmGreedy randomized adaptive search procedureMathematicsComputers & Operations Research
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