Search results for "OPTIMIZATION"

showing 10 items of 2824 documents

Shape optimization utilizing consistent sensitivities

2010

osittaisdifferentiaaliyhtälötmatemaattinen optimointisensitivity analysisoptimointimuotoilumuodon optimointishape optimizationcomputer simulationpartial differential equationsherkkyysanalyysisimulointialgoritmic differentiationsimulointiohjelmistoautomaattinen derivointitietojenkäsittely
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Static instability analysis of an elastic band travelling in the gravitational field

2011

Static instability analysis is performed for an axially moving elastic band, which is travelling at a constant velocity in a uniform gravitational field between two supports. The buckling of the band is investigated with the help of admitting small transverse deflections. The model of a thin elastic beam (panel) subjected to bending, centrifugal forces and nonhomogeneous tension (including a gravitational term) is used. Buckling analysis and estimation of the critical velocities of elastic instability are based on variational principles and variational inequalities. As a result, explicit formulas for upper and lower limits for critical velocities are found. It is shown analytically that a c…

osittaisdifferentiaaliyhtälötstabiiliuspaperiteollisuusoptimointielastisuuspaperielasticitygravitaatiostabilityoptimization
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Multi-objective parameter identification via ACOR algorithm

2009

The spreading of advanced constituive models, needed to model complex phenomena, makes necessary to solve difficult parameter identification problems. The need of multiple tests to fully characterize the experimental behaviour makes the parameter identification problem a multi objective one. Unlike conventional techniques, based on the formulation of an aggregate scalar ob- jective function, in the present work the problem is addressed using a new multi objective algorithm obtained extending the continuous Ant Colony Optimization algorithm. Mathematical tests and ap- plication to a real world problem are performed and different performance measures are used to asses the performance of the a…

parameters identification ACOR multi-objective optimization.Settore ICAR/08 - Scienza Delle Costruzioni
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Shape optimization in contact problems : Approximation and numerical realization

1987

The optímal shape design of a two-dimensíonal elastic body on rigid foundatíon is analyzed. The relation between the continuous problem and the díscrete problem achieved by FEM is presented. A numerícal realization together wíth the sensítivity analysís is given. Several numerical examples to illustrate the practícal use of the methods are presented. peerReviewed

partial differential equationelastic contactvariational inequalityconstrained optimization
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A Fuzzy inference model for the layout design

2011

plant layout optimization fuzzy numbers
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Enhanced chain dynamics in loop-sorting-systems by means of layout optimization and a kinematic model of the polygon action

2012

Published version of an article in the journal: Structural and Multidisciplinary Optimization. Also available from the publisher at: http://dx.doi.org/10.1007/s00158-011-0743-7 Poor dynamics owing to polygon action is a known concern in mechanical applications of closed articulated chains. In this paper a kinematic model of the polygon action in large chains of loop-sorting-systems is proposed. Through optimization techniques the chain dynamics is improved by minimizing the polygon action using a parametric model of the track layout as design variables. Three formulations of the kinematic polygon action are tested on an average sized planer tracks layout to find a superior model. Verificati…

polygon actionLoop (graph theory)Mathematical optimizationControl and OptimizationComputer scienceengineeringVDP::Technology: 500::Mechanical engineering: 570SortingKinematicsloop-sorting-systemsComputer Graphics and Computer-Aided DesignAction (physics)Computer Science Applicationsmulti-body dynamicsChain (algebraic topology)Control and Systems EngineeringParametric modelPolygonEngineering design processAlgorithmoptimizationSoftware
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Impact of Separator Thickness on Temperature Distribution in Single Cell of Polymer Electrolyte Fuel Cell Operated at Higher Temperature of 90 °C and…

2022

The New Energy and Industry Technology Development Organization (NEDO) road map (Japan, 2017) has proposed that a polymer electrolyte fuel cell (PEFC) system, which operates at a temperature of 90 °C and 100 °C, be applied for stationary and mobility usage, respectively. This study suggests using a thin polymer electrolyte membrane (PEM) and a thin gas diffusion layer (GDL), at the same time, to achieve better power-generation performance, at a higher temperature than usual. The focus of this paper is to clarify the effect of separator thickness on the distribution of temperature at the reaction surface (Treact), with the relative humidity (RH) of the supply gasses and initial operation tem…

polymer electrolyte fuel cell (PEFC); heat-transfer model; separator thickness; temperature distribution; high temperature operation of PEFCControl and OptimizationRenewable Energy Sustainability and the EnvironmentVDP::Matematikk og Naturvitenskap: 400::Geofag: 450Energy Engineering and Power TechnologyBuilding and ConstructionElectrical and Electronic EngineeringEngineering (miscellaneous)Energy (miscellaneous)
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Interactively Learning the Preferences of a Decision Maker in Multi-objective Optimization Utilizing Belief-rules

2020

Many real life problems can be modelled as multiobjective optimization problems. Such problems often consist of multiple conflicting objectives to be optimized simultaneously. Multiple optimal solutions exist to these problems, and a single solution cannot be said to be the best without preferences given by a domain expert. Preferences can be used to find satisfying solutions: optimal solutions, which best match the expert’s preferences. To model the preferences of the expert, and aid him/her in finding satisfying solutions, a novel method is proposed. The method utilizes machine learning combined with belief-rule based systems to adaptively train a belief rule based system to learn a domai…

preference modellingmallintaminenOptimization problemLinear programmingComputer scienceProcess (engineering)päätöksentukijärjestelmät02 engineering and technologyMachine learningcomputer.software_genreMulti-objective optimizationbelief-rule based systemsdecision makingoptimointiConflicting objectives020204 information systems0202 electrical engineering electronic engineering information engineeringPreference (economics)business.industryDecision makermonitavoiteoptimointiExpert systemmachine learningkoneoppiminenmultiple objective optimization020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerPython2020 IEEE Symposium Series on Computational Intelligence (SSCI)
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Racjonalizacja planowania rozwoju miast w aspekcie teoretycznym i praktycznym

2021

Punktem wyjścia w dyskusji o ewolucji systemu zarządzania rozwojem miast jest zazwyczaj analiza jego braków i słabości. Rzadziej są nim stosowane przez gminy praktyki planistyczne, które zwiększają skuteczność i racjonalność podejmowanych działań. Artykuł stanowi esencjonalny przegląd aktualnych dobrych praktyk z obszarów planowania przestrzennego i strategicznego, obrazujących oddolne i nieskodyfikowane działania samorządów lokalnych.Przykłady zostały osadzone w teoretycznych ramach holistycznego ujęcia problemu rozwoju miast. Celem artykułu, poza ilustracją zagadnień wraz z ich teoretyczną podbudową, jest inspiracja do zmian w kształcie opisanej przepisami prawa ustawowej części systemu p…

procedures optimizationintegration of the policiesstrategic planningpraktyki planistyczneSpatial planning systemsystem planowania przestrzennegooptymalizacja procedurcityobszary miejskiedevelopment managementzarządzanie rozwojemintegracja politykplanning practiciesmiastourban area
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Scheduling under the network of temporo-spatial proximity relationships

2017

We discuss and introduce to the schedulingeld a novel, qualitative optimization model - scheduling under the network of temporo-spatial proximity relationships.We introduce a half perimeter proximity measure as an objective of scheduling.We present and evaluate an incremental Sequence Pair neighborhood evaluation algorithm, applicable to both scheduling and rectangle packing problems in VLSI industry. In this paper, we discuss and introduce to the scheduling field a novel optimization objective - half perimeter proximity measure in scheduling under the network of temporo-spatial proximity relationships. The presented approach enables to qualitatively express various reasons of scheduling ce…

proximity relationshipsMathematical optimizationGeneral Computer Sciencerectangle packing problemEvaluation algorithm0102 computer and information sciences02 engineering and technologyIntegrated circuitManagement Science and Operations Research01 natural scienceslaw.inventionScheduling (computing)lawApproximation error0202 electrical engineering electronic engineering information engineeringschedulingComputer Science::Operating SystemsMathematicsVery-large-scale integrationProximity measureneighborhood evaluation010201 computation theory & mathematicsModeling and Simulation020201 artificial intelligence & image processingsequence pairRectangle packingComputers & Operations Research
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