Search results for "Mathematical optimization"

showing 10 items of 1300 documents

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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Voltage Regulation and Power Losses Minimization in Automated Distribution Networks by an Evolutionary Multiobjective Approach

2004

In this paper, the problem of voltage regulation and power losses minimization for automated distribution systems is dealt with. The classical formulation of the problem of optimal control of shunt capacitor banks and Under Load Tap Changers located at HV/MV substations has been coupled with the optimal control of tie-switches and capacitor banks on the feeders of a large radially operated meshed distribution system with the aim of attaining minimum power losses and the flattening of the voltage profile. The considered formulation requires the optimization of two different objectives; therefore the use of adequate multiobjective heuristic optimization methods is needed. The heuristic strate…

Mathematical optimizationEngineeringbusiness.industryFuzzy setEnergy Engineering and Power TechnologyOptimal controlEvolutionary computationFlatteninglaw.inventionSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaCapacitorOptimal control optimization methods power distribution voltage control.Control theorylawMinificationVoltage regulationElectrical and Electronic EngineeringbusinessVoltage
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A reactive GRASP algorithm for the container loading problem with load-bearing constraints

2014

The container loading problem consists in packing a set of boxes of different dimensions into a large container of fixed dimensions, usually with the objective of maximising the container load. In practical problems, besides the geometric constraints of not exceeding the container dimensions and ensuring the non-overlapping of boxes, other requirements may appear, such as total weight, weight balance or support. In this paper we address the problem of maximising container volume utilisation while respecting a set of practical constraints: full support of boxes, allowed orientations and load-bearing capacity. We have developed different heuristics for solving the problem and we have combined…

Mathematical optimizationEngineeringbusiness.industryGRASPVolume (computing)ConstructiveIndustrial and Manufacturing EngineeringLoad bearingSet (abstract data type)Improvement methodsContainer (abstract data type)businessHeuristicsAlgorithmEuropean J. of Industrial Engineering
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Wavelet-Based Optimal Control of a Wind Turbine System: A Computational Approach

2011

This paper deals with a computational optimization approach to the problem of state-feedback control design for a wind turbine system. The first step of the study is to develop a reduced order model for the system by considering the most important physical phenomena of aerodynamics and structural dynamics. Moreover, the behavior of the system can be influenced by the coupled dynamics between the tower motions and the blade pitch and turbine speed which can cause instabilities in the control loops in the worst case. By using a suitable wavelet funcation, called Haar functions, a recursive computational procedure is established for finding the system dynamics approximately by solving only alg…

Mathematical optimizationEngineeringbusiness.industryMechanical EngineeringBlade pitchAerodynamicsOptimal controlTurbineIndustrial and Manufacturing EngineeringSystem dynamicsAlgebraic equationWaveletControl theorybusinessDifferential (mathematics)Journal of Advanced Mechanical Design, Systems, and Manufacturing
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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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Optimal Set Points Regulation of Distributed Generation Units in Micro-grids under Islanded Operation

2010

The present work studies the problem of optimizing the power production levels of dispersed generation units in islanded microgrids. The problem is intrinsically multi-objective with non linear objectives and constraints, thus the solution approach is based on evolutionary optimization and uses the Non dominated Sorting Genetic Algorithm II. The objectives are calculated based on the solution of the load flow problem. The latter problem is more complicated when in the considered system a physical node with a sufficiently large production capability is not available, because all the generation node of the systems have similar and limited generation capability. In this paper, the issue has be…

Mathematical optimizationEngineeringbusiness.industryNode (networking)String (computer science)SortingMulti-objective optimizationSlack busSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaDistributed generationGenetic algorithmMinificationbusinessOptimal dispatch microgrids multi-objective optimization slack bus
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Some improvements in solving radial distributions networks through the backward/forward method

2005

In the electrical radial distribution networks analysis, the backward/forward method shows good features in terms of robustness, independence from load nature, small use of hardware resources and limited calculation time. In the present paper, some procedures to improve the b/f method with the aim of reducing the calculation time are presented. The adopted procedures regard the choice of the initial values of the nodes voltages and the way in which the convergence criterion is applied. The results of some tests carried out on some electrical test systems here reported have shown the efficiency of the proposed methodology in terms of calculation time reduction, especially when solving heavil…

Mathematical optimizationEngineeringbusiness.industrySystem testingAC powerAutomationlaw.inventionSettore ING-IND/33 - Sistemi Elettrici Per L'Energiasymbols.namesakeCapacitorlawRobustness (computer science)symbolsPower-flow studybusinessBackward/forward method Load flow analysis Power DistributionNewton's methodVoltage2005 IEEE Russia Power Tech
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A new formulation of the optimal compensation and reconfiguration problem including minimum load nodes unavailability for automated distribution netw…

2004

This paper deals with a new formulation of the optimal operation of electrical distribution networks problem in regular working state. In the new deregulated energy market providing reliable and economical service to customers is a primary task. The multiobjective formulation of the reconfiguration and compensation problem used in this paper considers as a primary object also the minimisation of the load nodes unavailability (UA) expressed in probabilistic terms. Therefore, the objectives to be attained through the optimisation strategy are: minimal power losses operation, minimum UA of the load nodes, load balancing among the HV/MV transformers, and voltage profile regularisation. The appl…

Mathematical optimizationEngineeringfeeder reconfigurationbusiness.industryElectric power distributionApplied MathematicsProbabilistic logicEvolutionary algorithmControl reconfigurationComputer Science Applicationslaw.inventionDistributed power generationSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaCapacitorComputational Theory and MathematicslawElectronic engineeringEnergy marketElectrical and Electronic EngineeringUnavailabilityTransformerbusinessRemote control
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Frequency constrained optimal Power Flow based on Glow-worm Swarm Optimization in Islanded Microgrids

2015

This work presents an application of a swarm optimization method to solve the optimal power flow problem taking into account the constraints of frequency and line ampacity in three-phase islanded Microgrids. Each generation unit is equipped with a Power Electronics Interface. In the considered formulation, the droop control parameters are considered as variables to be adjusted by a higher control level, while the frequency is kept in rated bounds. Another typical constraint for OPF formulation, the max ampacity of each line, is also considered. Two case studies with different dimensions and electrical features have been considered and the obtained results show the efficiency of the proposed…

Mathematical optimizationEngineeringfrequency constraintInterface (computing)Islanded microgridglow-worm swarm optimizationBiomedical EngineeringEnergy Engineering and Power TechnologyControl theoryPower electronicsAmpacityVoltage droopthree phase systemsislanded microgridsbusiness.industryRenewable Energy Sustainability and the Environmentline ampacity constraintOptimal power flow; three phase systems; islanded microgrids; glow-worm swarm optimization; frequency constraint; line ampacity constraintParticle swarm optimizationSwarm behaviourConstraint (information theory)Three phase systemSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaLine (geometry)businessOptimal power flow
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Multi-scenario multi-objective robust optimization under deep uncertainty: A posteriori approach

2021

This paper proposes a novel optimization approach for multi-scenario multi-objective robust decision making, as well as an alternative way for scenario discovery and identifying vulnerable scenarios even before any solution generation. To demonstrate and test the novel approach, we use the classic shallow lake problem. We compare the results obtained with the novel approach to those obtained with previously used approaches. We show that the novel approach guarantees the feasibility and robust efficiency of the produced solutions under all selected scenarios, while decreasing computation cost, addresses the scenario-dependency issues, and enables the decision-makers to explore the trade-off …

Mathematical optimizationEnvironmental Engineering010504 meteorology & atmospheric sciencesComputer sciencepäätöksentekotehokkuus0211 other engineering and technologies02 engineering and technologyoptimaalisuus01 natural sciencesMulti-objective optimizationScenario planningRobust decision-makingdeep uncertaintyoptimointiRobustness (computer science)Reference pointsScenario planning0105 earth and related environmental sciencesscenario planningrobust decision making scalarizing functions021103 operations researchpareto-tehokkuusEcological ModelingPareto principleRobust optimizationskenaariotepävarmuusmonitavoiteoptimointireference pointsMulti-objective optimizationRobust decision making scalarizing functionsmulti-objective optimizationDeep uncertaintyBenchmark (computing)A priori and a posterioriSoftware
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