Search results for "Mathematical optimization"

showing 10 items of 1300 documents

Optimization of the domain in elliptic variational inequalities

1988

This paper is concerned with a nonsmooth shape optimization problem for the Signorini unilateral boundary-value problem. The necessary optimality conditions are derived. The results of computations are presented.

Elliptic curveMathematical optimizationControl and OptimizationApplied MathematicsComputationVariational inequalityShape optimization problemBoundary value problemGradient methodFinite element methodDomain (mathematical analysis)MathematicsApplied Mathematics & Optimization
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Abstract Estimates of the Rate of Convergence for Optimal Control Problems

1997

A method for solving optimal control problems with general elliptic operators is presented and analyzed. Especially, estimates of the rate of convergence for the control problems with the proposed approach are derived independently of the underlying approximation method. Some numerical experiments with the proposed method are included.

Elliptic operatorElliptic curveMathematical optimizationControl and OptimizationDiscretizationRate of convergenceApplied MathematicsState constraintOptimal controlControl (linguistics)MathematicsApplied Mathematics and Optimization
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Different energy balances for the redesign of nearly net zero energy buildings: An Italian case study

2015

Abstract The currently developing concept of a Net Zero Energy Building introduces new challenges and research problems. The calculation of a net zero energy balance is heavily influenced by the energy carrier weighting factors that are chosen, which can deeply influence the future energy market towards adopting specific energy technologies. The following paper proposes an analysis of different definitions and conventions for Net Zero Energy Buildings that employ different calculation methodologies and apply different weighting factors to an Italian case study. The case study, which is called “the Leaf House”, is one of the first examples of a nearly net zero energy building in Italy. A bui…

Energy carrierEngineeringMathematical optimizationZero-energy buildingSettore ING-IND/11 - Fisica Tecnica AmbientalePrimary energyRenewable Energy Sustainability and the Environmentbusiness.industryBuilding simulation Net Zero Energy Building Redesign Sensitivity analysis TRNSYS energy balance Weighting factors Primary energyMechanical engineeringEnergy accountingEnergy storageRenewable energySpecific energyEnergy marketbusiness
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Mixed heuristic-non linear optimization of energy management for hydrogen storage-based multi carrier hubs

2014

In this paper, an heuristic and non-linear programming based algorithm to optimally operate an energy hub plant is proposed. The energy hub plant described in this work is the test system for the European INGRID research project. The Energy Management System defines the optimal energy flows dispatch in order to obtain the energy balance and the maximum profit for the owner of the plant. The problem is highly constrained and non-linear, for this reason the methodology cannot rely on Linear Programming (LP) methods. The Energy Management System manages two energy carriers, electricity and hydrogen, interfacing three distribution networks: the electricity, the hydrogen and the methane networks…

Energy carrierMathematical optimizationEngineeringLinear programmingEnergy managementHeuristicbusiness.industryEnergy balanceTabu searchDSOEnergy Management SystemsStorage Integrationheuristic methodsnon-linear problemsSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaEnergy management systemSimulated annealingbusiness2014 IEEE International Energy Conference (ENERGYCON)
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A systematic approach for fine-tuning of fuzzy controllers applied to WWTPs

2010

A systematic approach for fine-tuning fuzzy controllers has been developed and evaluated for an aeration control system implemented in a WWTP. The challenge with the application of fuzzy controllers to WWTPs is simply that they contain many parameters, which need to be adjusted for different WWTP applications. To this end, a methodology based on model simulations is used that employs three statistical methods: (i) Monte-Carlo procedure: to find proper initial conditions, (ii) Identifiability analysis: to find an identifiable parameter subset of the fuzzy controller and (iii) minimization algorithm: to fine-tune the identifiable parameter subset of the controller. Indeed, the initial locatio…

EngineeringFine-tuningMathematical optimizationEnvironmental Engineeringbusiness.industryEcological ModelingControl variableTrial and errorFuzzy logicLatin hypercube samplingControl theoryControl systemIdentifiabilitybusinessSoftwareEnvironmental Modelling & Software
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Split-Delivery Capacitated Arc-Routing Problem: Lower Bound and Metaheuristic

2010

International audience; This paper proposes lower and upper bounds for the split-delivery capacitated arc-routing problem (SDCARP), a variant of the capacitated arc-routing problem in which an edge can be serviced by several vehicles. Recent papers on related problems in node routing have shown that this policy can bring significant savings. It is also more realistic in applications such as urban refuse collection, where a vehicle can become full in the middle of a street segment. This work presents the first lower bound for the SDCARP, computed with a cutting plane algorithm and an evolutionary local search reinforced by a multistart procedure and a variable neighborhood descent. Tests on …

EngineeringMathematical optimization0211 other engineering and technologiesTransportation02 engineering and technologyUpper and lower boundsCARP0502 economics and businessLocal search (optimization)capacitated arc-routing problemMetaheuristicCivil and Structural Engineering050210 logistics & transportationSDCARP021103 operations researchbusiness.industryNode (networking)05 social sciences[INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO]split deliverycutting planeevolutionary local searchMemetic algorithmRouting (electronic design automation)businessArc routingCutting-plane method
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Real-time weighting optimization in Chinese Postman Problem

2013

International audience; In this study, based on real-time constraint, an optimization method is proposed for solving the problem of the optimal tour. For that, we will construct a graph containing the real-time state of traffic. The collected data will be used to predict the future state traffic and to give an optimized cost of the tour. This optimization is tested in different sizes of the road networks. The results show that the proposed method is efficient and effective in solving the Chinese Postman Problem in real-time.

EngineeringMathematical optimization021103 operations research[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processingbusiness.industry0211 other engineering and technologies0102 computer and information sciences02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing01 natural sciencesWeighting[SPI.AUTO]Engineering Sciences [physics]/AutomaticRoute inspection problem[SPI.AUTO] Engineering Sciences [physics]/Automatic[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing010201 computation theory & mathematicsRoad networks[ SPI.AUTO ] Engineering Sciences [physics]/AutomaticGraph (abstract data type)Real-time databusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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A Note on the Flaws of MFA (Minimal Flow Analysis)

2012

MFA (Minimal Flow Analysis) is a method of qualitative input-output analysis used for identifying national of regional industrial clusters. It is based on the analysis of layers (in an input-output model, flow matrices generated at each iteration toward equilibrium). We show through theory that all normalized layers (column-coefficient matrices computed from each layer) are equal in MFA. This is illustrated by an application to France's 2009 input-output table. Therefore, the information brought by one layer is identical to those of another layer: layers bring no specific information, which unfortunately implies that MFA is not a good tool to study intersectoral linkages, despite the intere…

EngineeringMathematical optimizationCharacter (mathematics)Flow (mathematics)Operations researchbusiness.industryLayer (object-oriented design)businessMinimal flowSSRN Electronic Journal
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Optimal Electrical Distribution Systems Reinforcement Planning Using Gas Micro Turbines by Dynamic Ant Colony Search Algorithm

2007

Distribution systems management is becoming an increasingly complicated issue due to the introduction of new energy trading strategies and new technologies. In this paper, an optimal reinforcement strategy to provide reliable and economic service to customers in a given time frame is investigated. In the new deregulated energy market and considering the incentives coming from the political and economical fields, it is reasonable to consider distributed generation (DG) as a viable option for systems reinforcement. In the paper, the DG technology is considered as a possible solution for distribution systems capacity problems, along several years. Therefore, compound solutions comprising the i…

EngineeringMathematical optimizationCogeneration distributed generation gas microturbines power distribution economics power distribution planningbusiness.industryEnergy managementAnt colony optimization algorithmsEnergy Engineering and Power TechnologyAnt colonyTechnology managementSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaSearch algorithmDistributed generationEnergy marketTrading strategyElectrical and Electronic Engineeringbusiness
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Optimization methods for complex sheet metal stamping computer aided engineering

2010

Nowadays, sheet metal stamping processes design is not a trivial task due to the complex issues to be taken into account (complex shapes forming, conflicting design goals and so on). Therefore, proper design methodologies to reduce times and costs have to be developed mostly based on computer aided procedures. In this paper, a computer aided approach is proposed with the aim to offer a methodology able to solve very complex sheet metal stamping processes, in particular a progressive design approach based on the integration between numerical simulations and optimization methodologies is presented. In particular, Response Surface Method, Moving Least Squares approximation and Pareto optimal s…

EngineeringMathematical optimizationControl and Optimizationbusiness.industrymedia_common.quotation_subjectRestraining forceSheet stampingStampingComputer Graphics and Computer-Aided DesignIndustrial engineeringComputer Science ApplicationsSet (abstract data type)Response surface methodologyMoving least squares approximationControl and Systems EngineeringComputer-aidedQuality (business)Moving least squaresComputer-aided engineeringbusinessEngineering design processDesign methodsSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneSoftwaremedia_commonStructural and Multidisciplinary Optimization
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