Search results for "Mathematical optimization"

showing 10 items of 1300 documents

2014

This paper presents a mathematical model for robust production planning. The model helps fashion apparel suppliers in making decisions concerning allocation of production orders to different production plants characterized by different lead times and production costs, and in proper time scheduling and sequencing of these production orders. The model aims at optimizing these decisions concerning objectives of minimal production costs and minimal tardiness. It considers several factors such as the stochastic nature of customer demand, differences in production and transport costs and transport times between production plants in different regions. Finally, the model is applied to a case study.…

EngineeringMathematical optimizationbusiness.industryCVARGeneral MathematicsRisk measureTardinessGeneral EngineeringScheduling (production processes)Product typeExpected shortfallProduction planningbusinessDecision analysisMathematical Problems in Engineering
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Robust Multi-Objective Optimal dispatch of Distributed Energy Resources in Micro-Grids

2011

Modern distribution systems are implemented through micro grids: small power networks where generation is close to consumption and ICT supports the coordinated management of the different energy resources. In such systems, the central control unit manages energy dispatch from the different sources according to different criteria (technical, economical and environmental) and takes care of tertiary regulation. Such optimization for the tertiary regulation is performed with a time interval that typically is of 24 hours. This is due to the fact that it is necessary to take into account the charge and discharge cycles of storage systems. On the other hand, such long time leads to large errors in…

EngineeringMathematical optimizationbusiness.industryEconomic dispatchEnergy consumptionMulti-objective optimizationSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaElectricity generationRobustness (computer science)Load regulationDistributed generationbusinessEnergy sourceMultiobjective optimization microgrids optimal management roust solutions.
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Multi-Objective Design of Optimisation of a Class of PKMs - The 3-DOF Gantry-Tau

2010

The main contribution of this paper is the use of the evolutionary multi-objective methodology based on the com plex search algorithm and geometric approaches to optimise a parallel kinematic structure. The design optimisation scheme includes the kinematic (collisions free workspace), elastostatic (Cartesian stiffness in the Y direction) and elastodynamic (first resonance frequency) properties of the PKM as the objectives. The optimisation constraints are the support frame lengths, actuator positions, end-effector’s kinematic parameters and the robot’s arm lengths. The optimisation results are presented in this paper.

EngineeringMathematical optimizationbusiness.industryFrame (networking)StiffnessWorkspaceKinematicslaw.inventionComputer Science::RoboticslawControl theorySearch algorithmmedicineRobotCartesian coordinate systemmedicine.symptombusinessActuatorComputingMethodologies_COMPUTERGRAPHICSModelling, Identification, and Control
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LPV models: Identification for gain scheduling control

2001

In this paper the use of discrete-time Linear Parameter Varying (LPV) models for the gain scheduling control and identification methods for non-linear or time-varying system is considered. We report an overview on the existing literature on LPV systems for gain scheduling control and identification. Moreover, assuming that inputs, outputs and the scheduling parameters are measured, and a form of the functional dependence of the coefficients on the parameters is known, we show how the identification problem can be reduced to a linear regression so that a Least Mean Square and Recursive Least Square identification algorithm can be reformulated. Our methodology is applied for the identificatio…

EngineeringMathematical optimizationbusiness.industryGain scheduling control; identification for nonlinear systems; LPV models;Jet enginelaw.inventionScheduling (computing)Least mean squares filterParameter identification problemGain schedulingControl theoryRobustness (computer science)lawLinear regressionbusinessSurge control2001 European Control Conference (ECC)
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The Scatter Search Methodology

2011

Scatter search (SS) is an evolutionary approach for optimization. It has been applied to problems with continuous and discrete variables and with a single or multiple objectives. The success of SS as an optimization technique is well documented in a constantly growing number of journal articles and book chapters. This article first focuses on the basic SS framework, which is responsible for most of the outcomes reported in the literature, and then covers advanced elements that have been introduced in a few selected papers, such as the hybridization with tabu search, a well-known memory-based metaheuristic. We consider the maximum diversity problem to illustrate the search elements, methods …

EngineeringMathematical optimizationbusiness.industrySearch algorithmBeam searchGuided Local SearchArtificial intelligencebusinessMetaheuristicTabu search
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Decentralized price-driven grid balancing via repurposed electric vehicle batteries

2017

Abstract The share of electricity generated from intermittent renewable sources, e.g., wind and solar grows rapidly. This affects grid stability and power quality. If the share of renewable power generation is to be increased further, additional flexibilities must be introduced. Aggregating small, distributed loads and energy storage facilities is a good medium-term option. In this paper, the suitability of decentralized and on-site optimized storage system consisting of repurposed electric vehicle batteries for grid balancing is investigated. Battery operation is controlled via an optimization procedure, which relies on a one-way communicated pseudo-cost function (PCF). Day-ahead electrici…

EngineeringMathematical optimizationbusiness.product_category020209 energy02 engineering and technologyIndustrial and Manufacturing EngineeringEnergy storageElectric vehicleIntermittent energy source0202 electrical engineering electronic engineering information engineering0601 history and archaeologyElectrical and Electronic EngineeringInteger programmingCivil and Structural EngineeringSequential quadratic programming060102 archaeologybusiness.industryMechanical EngineeringElectrical engineering06 humanities and the artsBuilding and ConstructionGridPollutionRenewable energyGeneral EnergyDistributed generationbusinessEnergy
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Reliable estimates in the anisotropic heat conduction problems

2014

Abstract The heat conduction problems for anisotropic bodies are studied taking into account the uncertainties in the material orientation. The best estimations of the upper and lower bounds of the considered energy dissipation functional are based on developing new approach consisting in solution of some optimization problems and finding the extremal internal material structures, which realize minimal and maximal dissipation. The motivation of this study comes from paper making processes, and more precisely, drying process, which consumes about 50% of the energy fed into the paper machine. The understanding of the effect of uncertainties in the process arises from structural properties of …

EngineeringMathematical optimizationbusiness.product_categoryOptimization problembusiness.industry020209 energyAnisotropic materialProcess (computing)02 engineering and technologyDissipationThermal conductionUpper and lower boundsUncertaintiesPaper machine020401 chemical engineeringlämmön johtuminen0202 electrical engineering electronic engineering information engineeringApplied mathematics0204 chemical engineeringAnisotropybusinessReliable estimatesEnergy (signal processing)Journal of Uncertainty Analysis and Applications
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Heuristic-Based Shiftable Loads Optimal Management in Smart Micro-Grids

2015

In this paper, an optimal power dispatch problem on a 24-h basis for distribution systems with distributed energy resources (DER) also including directly controlled shiftable loads is presented. In the literature, the optimal energy management problems in smart grids (SGs) where such types of loads exist are formulated using integer or mixed integer variables. In this paper, a new formulation of shiftable loads is employed. Such formulation allows reduction in the number of optimization variables and the adoption of real valued optimization methods such as the one proposed in this paper. The method applied is a novel nature-inspired multiobjective optimization algorithm based on an original…

EngineeringMathematical optimizationsmart-gridPareto optimizationwarm-optimizationHeuristic (computer science)Energy managementswarm-optimizationDemand side managementmart-gridsReduction (complexity)Electric power systemDemand side management;Pareto optimization;swarm-optimization;shiftable loads;smart-gridshiftable loadElectrical and Electronic EngineeringMulti-swarm optimizationbusiness.industryComputer Science Applications1707 Computer Vision and Pattern Recognitionsmart-gridsComputer Science ApplicationsSettore ING-IND/33 - Sistemi Elettrici Per L'Energiashiftable loadSmart gridControl and Systems EngineeringDistributed generationshiftable loadsbusinessInformation SystemsInteger (computer science)IEEE Transactions on Industrial Informatics
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Robust output feedback ℌ<inf>∞</inf> control synthesis with pole placement for offshore wind turbine system: An LMI…

2012

This paper deals with output ℌ ∞ control synthesis for a linear parameter-varying model of a floating wind turbine. A nonlinear model is introduced and linearized to obtain a linear model for each desired azimuth angle using the wind turbine software FAST. The main contributions of this paper are threefold. Firstly, the family of linear models are represented based on an affine parameter-varying model structure. Secondly, the bounded parameter-varying parameters are removed using upper bounded inequalities in the control design process. Thirdly, the control problem is formulated in terms of linear matrix inequalities (LMIs). The simulation results show a comparison between a controller desi…

EngineeringOffshore wind powerMathematical optimizationbusiness.industryControl theoryLinear systemFull state feedbackLinear modelFloating wind turbineRobust controlbusinessTurbine2012 IEEE International Conference on Control Applications
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Probabilistic stability analysis of social obesity epidemic by a delayed stochastic model

2014

Abstract Sufficient conditions for stability in probability of the equilibrium point of a social obesity epidemic model with distributed delay and stochastic perturbations are obtained. The obesity epidemic model is demonstrated on the example of the Region of Valencia, Spain. The considered nonlinear system is linearized in the neighborhood of the positive point of equilibrium and a sufficient condition for asymptotic mean square stability of the zero solution of the constructed linear system is obtained.

Equilibrium pointMathematical optimizationStochastic modellingApplied MathematicsLinear systemGeneral EngineeringProbabilistic logicZero (complex analysis)Computer Science::Social and Information NetworksGeneral MedicineQuantitative Biology::OtherStability (probability)Computational MathematicsNonlinear systemApplied mathematicsEpidemic modelGeneral Economics Econometrics and FinanceAnalysisMathematicsNonlinear Analysis: Real World Applications
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