Search results for " Optimization"

showing 10 items of 2367 documents

On the Extension of the DIRECT Algorithm to Multiple Objectives

2020

AbstractDeterministic global optimization algorithms like Piyavskii–Shubert, direct, ego and many more, have a recognized standing, for problems with many local optima. Although many single objective optimization algorithms have been extended to multiple objectives, completely deterministic algorithms for nonlinear problems with guarantees of convergence to global Pareto optimality are still missing. For instance, deterministic algorithms usually make use of some form of scalarization, which may lead to incomplete representations of the Pareto optimal set. Thus, all global Pareto optima may not be obtained, especially in nonconvex cases. On the other hand, algorithms attempting to produce r…

Control and Optimization0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchMulti-objective optimizationSet (abstract data type)Local optimumoptimointialgoritmitConvergence (routing)0202 electrical engineering electronic engineering information engineeringmultiobjective optimizationmultiple criteria optimizationMathematics021103 operations researchApplied MathematicsPareto principleDIRECT algorithmmonitavoiteoptimointiComputer Science Applicationsglobal convergenceNonlinear systemdeterminantitHausdorff distancemonimuuttujamenetelmät020201 artificial intelligence & image processingHeuristicsdeterministic optimization algorithmsAlgorithmJournal of Global Optimization
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Investigation on a Bio-Composite Material as Acoustic Absorber and Thermal Insulation

2020

In order to limit the anthropic emissions of CO2, research is currently investigating new materials for the building sector. The main purpose is the reduction in the embodied energy consumption, especially in the residential sector, and consequently the limitation of the direct and indirect utilization of fossil fuels, for the indoor heating, cooling, and ventilation services. Indeed, the residential sector is affected by a high energy demand, thus the choice of improved materials is fundamental to improve the sustainability. All phases: construction, building life, and dismantling are impacting in terms of resource and energy consumption, both associated with the emissions of pollutants in…

Control and Optimization0211 other engineering and technologiesEnergy Engineering and Power Technology020101 civil engineering02 engineering and technologyengineering.materialUSablelcsh:Technology0201 civil engineeringThermal insulation021105 building & constructionThermalElectrical and Electronic EngineeringProcess engineeringEngineering (miscellaneous)LimeSettore ING-IND/11 - Fisica Tecnica Ambientalebio-composite materiallcsh:TRenewable Energy Sustainability and the Environmentbusiness.industryFossil fuelEnergy consumptionAcoustic absorber Bio-composite material Thermal insulationSustainabilityengineeringthermal insulationEnvironmental scienceacoustic absorberbusinessEmbodied energyEnergy (miscellaneous)Energies
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Invariant approximation results in cone metric spaces

2011

‎Some sufficient conditions for the existence of fixed point of mappings‎ ‎satisfying generalized weak contractive conditions is obtained‎. ‎A fixed‎ ‎point theorem for nonexpansive mappings is also obtained‎. ‎As an application‎, ‎some invariant approximation results are derived in cone metric spaces‎.

Control and OptimizationAlgebra and Number TheoryInjective metric spaceTangent coneMathematical analysis‎non normal cone‎54C60‎54H25‎‎orbitally continuous‎cone metric spacesIntrinsic metricConvex metric spaceFixed pointsMetric space‎46B40Dual cone and polar coneSettore MAT/05 - Analisi MatematicaMetric map‎invariant‎ ‎approximationInvariant (mathematics)Fixed points orbitally continuous invariant approximation cone metric spaces non normal cone.47H10AnalysisMathematics
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Infinitely many solutions for a perturbed p-Laplacian boundary value problem with impulsive effects

2017

In this paper, we deal with the existence of weak solutions for a perturbed p-Laplacian boundary value problem with impulsive effects. More precisely, the existence of an exactly determined open interval of positive parameters for which the problem admits infinitely many weak solutions is established. Our proofs are based on variational methods.

Control and OptimizationApplied MathematicsPerturbed p-Laplacian boundary value problemCritical point theory; Impulsive effects; Infinitely many solutions; Perturbed p-Laplacian boundary value problem; Variational methods; Analysis; Geometry and Topology; Control and Optimization; Applied MathematicsVariational methodAnalysiImpulsive effectsInfinitely many solutionsImpulsive effectVariational methodsCritical point theoryInfinitely many solutionGeometry and TopologyAnalysis
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A product space reformulation with reduced dimension for splitting algorithms

2021

AbstractIn this paper we propose a product space reformulation to transform monotone inclusions described by finitely many operators on a Hilbert space into equivalent two-operator problems. Our approach relies on Pierra’s classical reformulation with a different decomposition, which results in a reduction of the dimension of the outcoming product Hilbert space. We discuss the case of not necessarily convex feasibility and best approximation problems. By applying existing splitting methods to the proposed reformulation we obtain new parallel variants of them with a reduction in the number of variables. The convergence of the new algorithms is straightforwardly derived with no further assump…

Control and OptimizationApplied Mathematicsdouglas – rachford algorithm47H05 47J25 49M27 65K10 90C30UNESCO::CIENCIAS TECNOLÓGICASComputational MathematicsOptimization and Control (math.OC)splitting algorithmprojection methodsFOS: Mathematicspierra’s product space reformulationmonotone inclusionsMathematics - Optimization and Controlfeasibility problemComputational Optimization and Applications
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LR-NIMBUS : an interactive algorithm for uncertain multiobjective optimization with lightly robust efficient solutions

2022

In this paper, we develop an interactive algorithm to support a decision maker to find a most preferred lightly robust efficient solution when solving uncertain multiobjective optimization problems. It extends the interactive NIMBUS method. The main idea underlying the designed algorithm, called LR-NIMBUS, is to ask the decision maker for a most acceptable (typical) scenario, find an efficient solution for this scenario satisfying the decision maker, and then apply the derived efficient solution to generate a lightly robust efficient solution. The preferences of the decision maker are incorporated through classifying the objective functions. A lightly robust efficient solution is generated …

Control and OptimizationApplied Mathematicspäätöksentekolight robust efficiencyrobust optimizationmatemaattiset menetelmätportfoliotManagement Science and Operations Researchinteractive methodsarvopaperisalkutskenaariotepävarmuusmonitavoiteoptimointiComputer Science Applicationsuncertain multiple criteria optimizationmenetelmätoptimointialgoritmitinteraktiivisuusBusiness Management and Accounting (miscellaneous)portfolio selection
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A Novel Adaptive Sliding Mode Controller for a 2-DOF Elastic Robotic Arm

2022

Collaborative robots (or cobots) are robots that are capable of safely operating in a shared environment or interacting with humans. In recent years, cobots have become increasingly common. Compliant actuators are critical in the design of cobots. In real applications, this type of actuation system may be able to reduce the amount of damage caused by an unanticipated collision. As a result, elastic joints are expected to outperform stiff joints in complex situations. In this work, the control of a 2-DOF robot arm with elastic actuators is addressed by proposing a two-loop adaptive controller. For the outer control loop, an adaptive sliding mode controller (ASMC) is adopted to deal with unce…

Control and OptimizationArtificial Intelligenceadaptive sliding mode controller; model reference adaptive controller; elastic robot arm; roboticsMechanical EngineeringVDP::Teknologi: 500::Industri- og produktdesign: 640Robotics
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A non-supervised approach to locate and to measure the nuchal translucency by means of wavelet analysis and neural networks

2017

Ultrasound imaging is a well known noninvasive way to evaluate various diseases during the prenatal age. In particular, the thickness measure of the nuchal transucency is strictly correlated with pathologies like trisomy 13, 18 and 21. For a correct investigation, the methodology needs mid-sagittal sections and the proposed approach is based on wavelet analysis and neural network classifiers to locate components useful to identify mid-sagittal planes. To evaluate the performance and the robustness of the methodology, real clinical ultrasound images were considered, obtaining an average error of at most 0.3 millimeters in 97.4% of the cases.

Control and OptimizationArtificial neural networkSettore INF/01 - InformaticaComputer sciencebusiness.industrymid-sagittal sectionneural networksymmetry transformPattern recognitionMeasure (mathematics)Ultrasonic imagingClinical ultrasoundWaveletComputer Networks and CommunicationNuchal translucencyRobustness (computer science)Artificial IntelligenceUltrasound imagingArtificial intelligencewavelet analysibusinessnuchal translucencyInformation Systems
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Numerical and Experimental Investigation of Equivalence Ratio (ER) and Feedstock Particle Size on Birchwood Gasification

2017

This paper discusses the characteristics of Birchwood gasification using the simulated results of a Computational Fluid Dynamics (CFD) model. The CFD model is developed and validated with the experimental results obtained with the fixed bed downdraft gasifier available at the University of Agder (UIA), Norway. In this work, several parameters are examined and given importance, such as producer gas yield, syngas composition, lower heating value (LHV), and cold gas efficiency (CGE) of the syngas. The behavior of the parameters mentioned above is examined by varying the biomass particle size. The diameters of the two biomass particles are 11.5 mm and 9.18 mm. All the parameters investigate wit…

Control and OptimizationBirchwood gasification020209 energycold gas efficiencyEnergy Engineering and Power TechnologyBiomassThermodynamics02 engineering and technologycomputational fluid dynamicsBirchwood gasification; computational fluid dynamics; equivalence ratio; cold gas efficiency; syngaslcsh:Technologyequivalence ratio0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringEngineering (miscellaneous)Petroleum engineeringRenewable Energy Sustainability and the EnvironmentChemistrylcsh:TProducer gassyngasYield (chemistry)ParticleHeat of combustionParticle sizeMass fractionEnergy (miscellaneous)Syngas
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Regular and singular pulse and front solutions and possible isochronous behavior in the Extended-Reduced Ostrovsky Equation: Phase-plane, multi-infin…

2016

In this paper we employ three recent analytical approaches to investigate several classes of traveling wave solutions of the so-called extended-reduced Ostrovsky Equation (exROE). A recent extension of phase-plane analysis is first employed to show the existence of breaking kink wave solutions and smooth periodic wave (compacton) solutions. Next, smooth traveling waves are derived using a recent technique to derive convergent multi-infinite series solutions for the homoclinic orbits of the traveling-wave equations for the exROE equation. These correspond to pulse solutions respectively of the original PDEs. We perform many numerical tests in different parameter regime to pinpoint real saddl…

Control and OptimizationComputational MechanicsDiscrete Mathematics and CombinatoricsStatistical and Nonlinear PhysicsExtended-Reduced Ostrovsky Equation Traveling Waves Singular Solutions Homoclinic and Heteroclinic Orbits Variational Solitary Waves
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