Search results for "SIMULATION"

showing 10 items of 5095 documents

Applying the approximation method PAINT and the interactive method NIMBUS to the multiobjective optimization of operating a wastewater treatment plant

2014

Using an interactive multiobjective optimization method called NIMBUS and an approximation method called PAINT, preferable solutions to a five-objective problem of operating a wastewater treatment plant are found. The decision maker giving preference information is an expert in wastewater treatment plant design at the engineering company Pöyry Finland Ltd. The wastewater treatment problem is computationally expensive and requires running a simulator to evaluate the values of the objective functions. This often leads to problems with interactive methods as the decision maker may get frustrated while waiting for new solutions to be computed. Thus, a newly developed PAINT method is used to spe…

Mathematical optimizationEngineeringOR in natural resourcesControl and OptimizationSpeedupbusiness.industryApplied Mathematicsproductivity and competitivenessManagement Science and Operations ResearchsimulationDecision makerMulti-objective optimizationIndustrial and Manufacturing EngineeringComputer Science ApplicationsSet (abstract data type)Pareto optimalmultiple objective programmingSewage treatmentPlant designbusinessta218Integer (computer science)
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Moving Least Squares Innovative Strategies For Sheet Forming Design

2011

In the last years a great interest in optimization algorithms aimed to design forming processes was demonstrated by many researches. Proper design methodologies to reduce times and costs have to be developed mostly based on computer aided procedures. Response surface methods (RSM) proved their effectiveness in the recent years also for the application in sheet metal forming aiming to reduce the number of numerical simulations. Actually, the main drawback of such method is the number of direct problem to be solved in order to reach good function approximations. A very interesting aspect in RSM application regards the possibility to build response surfaces basing on moving least squares appro…

Mathematical optimizationEngineeringOptimization problemComputer simulationbusiness.industryForming processesFunction approximationSheet metal forming design moving least squares optimizationvisual_artvisual_art.visual_art_mediumCurve fittingMoving least squaresSheet metalbusinessSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneInterpolationAIP Conference Proceedings
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Main Fuel Cells mathematical models: Comparison and analysis in terms of free parameters

2010

This paper resumes the main mathematical models of Fuel Cells (PEM models). In particular, a comparison study of the various models introduced in the technical literature is presented and the dependency of the various model parameters is analyzed in different operating conditions. As the manifold of the model parameter is very wide and their determination is difficult, it is mandatory to introduce approximations and simplifications on which each model is based. The novelty of this work is the organization of the existing models in three categories with regard to the number of free parameters and to the dependency of such parameters on the different running conditions and the usage of a refe…

Mathematical optimizationEngineeringWork (thermodynamics)Dependency (UML)EquationResistancereference modelproton exchange membrane fuel cells;PEM models;free parameters;main fuel cells mathematical models;reference model;Biomembranes;Equations;Fuel cells;Load modeling;Mathematical model;Numerical models;Resistance;Fuel Cell;Mathematical modeling;Parameter AnalysisSettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettriciproton exchange membrane fuel cellPEM modelNumerical modelParameter AnalysisMathematical modelBiomembranemain fuel cells mathematical modelReference modelSimulationLoad modelingMathematical modelbusiness.industryFuel cellNoveltyManifoldFuel cellsfree parameterMathematical modelingbusinessFree parameter
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Load match optimisation of a residential building case study: A cross-entropy based electricity storage sizing algorithm

2015

Abstract The EU EPBD recast regulation marked the application of the net zero energy building (Net ZEB) concept in all fields of building construction in Europe as a building able to generate as much energy as it consumes over a selected time frame. A more detailed insight is however needed, as even if a building achieves a long-term energy balance between energy generated and consumed, smaller time scales must also be considered. For example, from the utility’s point of view, if a Net ZEB is a heavy consumer in the winter, it will appear to be quite similar to a conventional building, requiring the use of additional generation. The increase in the generation-load match means reducing the s…

Mathematical optimizationEngineeringZero-energy buildingEnergy storageSettore ING-IND/11 - Fisica Tecnica Ambientalebusiness.industryMechanical EngineeringNet zero energy buildingEnergy balanceBuilding and ConstructionEnergy consumptionManagement Monitoring Policy and LawNet zero energy buildingsLoad matchEnergy accountingEnergy storageGeneral EnergyElectricity generationGrid energy storageElectricityCross entropy methodbusinessSimulation
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A hierarchic approach to production planning and scheduling of a flexible manufacturing system

1999

Abstract The paper deals with the problem of improving the machine utilization of a flexible manufacturing cell. Limited tool magazine space of the machines turns out to be a relevant bottleneck. A hierarchic approach for this problem is proposed. At the upper level, sets of parts that can be concurrently processed (batches) are determined. At the lower levels, batches are sequenced, linked, and scheduled. Methods taken from the literature are used for the solution of the latter subproblems, and an original mixed integer programming model is formulated to determine batches. The proposed methods are discussed on the basis of computational experience carried out on real instances.

Mathematical optimizationEngineeringbusiness.industryFlexible manufacturing systemsGeneral MathematicsFlexible manufacturing systemScheduling (production processes)Production planningFlexible manufacturing systemIndustrial and Manufacturing EngineeringBottleneckManufacturing engineeringComputer Science ApplicationsProduction planningMachine utilizationComputer-integrated manufacturingControl and Systems EngineeringToolingManufacturing cellbusinessInteger programmingProduction planning; Flexible manufacturing systems; Tooling; Mathematic; SimulationSoftwareMathematicSimulation
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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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A GRASP/Path Relinking algorithm for two- and three-dimensional multiple bin-size bin packing problems

2013

The three-dimensional multiple bin-size bin packing problem, MBSBPP, is the problem of packing a set of boxes into a set of bins when several types of bins of different sizes and costs are available and the objective is to minimize the total cost of bins used for packing the boxes. First we propose a GRASP algorithm, including a constructive procedure, a postprocessing phase and some improvement moves. The best solutions obtained are then combined into a Path Relinking procedure for which we have developed three versions: static, dynamic and evolutionary. An extensive computational study, using two- and three-dimensional instances, shows the relative efficiency of the alternatives considere…

Mathematical optimizationGeneral Computer ScienceBin packing problemGRASPPhase (waves)Management Science and Operations ResearchConstructiveBinSet (abstract data type)Modeling and SimulationPath (graph theory)HeuristicsAlgorithmMathematicsComputers & Operations Research
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