Search results for " Opera"

showing 10 items of 3606 documents

Application of linear friction welding for joining ultrafine grained aluminium

2020

Abstract Ultrafine grained (UFG) materials are of great potential in industry due to their enhanced mechanical strength and other promising features, such as ability to superplastic deformation or excellent corrosion resistance. Nevertheless, one of the main limitations lies in their low thermal stability, which leads to excessive grain growth at elevated temperature. It influences mainly further processes performed at high temperature, such as joining. It causes detrimental problems during conventional fusion welding, as significant grain growth is observed and therefore the advantages as a result of small average grain size disappear. Therefore, the idea of applying solid state joining pr…

0209 industrial biotechnologyMaterials scienceStrategy and ManagementMetallurgySuperplasticity02 engineering and technologyWeldingManagement Science and Operations Research021001 nanoscience & nanotechnologyIndustrial and Manufacturing EngineeringGrain sizelaw.inventionGrain growthFusion welding020901 industrial engineering & automationSevere plastic deformationlawUltimate tensile strengthAluminiumFriction weldingUltrafine grained microstructureDeformation (engineering)0210 nano-technologyLinear friction weldingSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneJournal of Manufacturing Processes
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Decorous combinatorial lower bounds for row layout problems

2020

Abstract In this paper we consider the Double-Row Facility Layout Problem (DRFLP). Given a set of departments and pairwise transport weights between them the DRFLP asks for a non-overlapping arrangement of the departments along both sides of a common path such that the weighted sum of the center-to-center distances between the departments is minimized. Despite its broad applicability in factory planning, only small instances can be solved to optimality in reasonable time. Apart from this even deriving good lower bounds using existing integer programming formulations and branch-and-cut methods is a challenging problem. We focus here on deriving combinatorial lower bounds which can be compute…

0209 industrial biotechnologyMathematical optimization021103 operations researchInformation Systems and ManagementGeneral Computer ScienceLinear programmingComputer scienceHeuristicConnection (vector bundle)0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchStar (graph theory)Industrial and Manufacturing EngineeringSet (abstract data type)020901 industrial engineering & automationModeling and SimulationFactory (object-oriented programming)Pairwise comparisonFocus (optics)Integer programmingEuropean Journal of Operational Research
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Mathematical models for a cutting problem in the glass manufacturing industry

2021

Abstract The glass cutting problem proposed for the ROADEF 2018 challenge is a two-dimensional, three-stage guillotine cutting process, with an additional cut to obtain pieces in some specific situations. However, it is not a standard problem because it includes specific constraints. The sheets produced in the glass manufacturing process have defects that make them different and have to be used in order. The pieces to be cut are grouped into subsets and the pieces from each subset must be cut in order. We approach the problem by developing and solving integer linear models. We start with the basic model, which includes the essential features of the problem, as a classical three-stage cuttin…

0209 industrial biotechnologyMathematical optimization021103 operations researchInformation Systems and ManagementMathematical modelComputer scienceStrategy and Management0211 other engineering and technologiesLinear modelProcess (computing)02 engineering and technologyManagement Science and Operations ResearchStandard problem020901 industrial engineering & automationCutting stock problemGlass manufacturingTrimmingInteger (computer science)Omega
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Sampled Fictitious Play on Networks

2019

We formulate and solve the problem of optimizing the structure of an information propagation network between multiple agents. In a given space of interests (e.g., information on certain targets), each agent is defined by a vector of their desirable information, called filter, and a vector of available information, called source. The agents seek to build a directed network that maximizes the value of the desirable source-information that reaches each agent having been filtered en route, less the expense that each agent incurs in filtering any information of no interest to them. We frame this optimization problem as a game of common interest, where the Nash equilibria can be attained as limit…

0209 industrial biotechnologyMathematical optimization021103 operations researchOptimization problemComputer scienceNode (networking)Frame (networking)0211 other engineering and technologies02 engineering and technologyFilter (signal processing)Fictitious playsymbols.namesake020901 industrial engineering & automationNash equilibriumLimit pointKey (cryptography)symbols
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A strategic oscillation simheuristic for the Time Capacitated Arc Routing Problem with stochastic demands

2021

Abstract The Time Capacitated Arc Routing Problem (TCARP) extends the classical Capacitated Arc Routing Problem by considering time-based capacities instead of traditional loading capacities. In the TCARP, the costs associated with traversing and servicing arcs, as well as the vehicle’s capacity, are measured in time units. The increasing use of electric vehicles and unmanned aerial vehicles, which use batteries of limited duration, illustrates the importance of time-capacitated routing problems. In this paper, we consider the TCARP with stochastic demands, i.e.: the actual demands on each edge are random variables which specific values are only revealed once the vehicle traverses the arc. …

0209 industrial biotechnologyMathematical optimization021103 operations researchTraverseGeneral Computer ScienceUnit of timeComputer science0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchArc (geometry)020901 industrial engineering & automationModeling and SimulationEnhanced Data Rates for GSM EvolutionDuration (project management)Routing (electronic design automation)Arc routingRandom variableComputers & Operations Research
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Meta-heuristic Algorithms for Nesting Problem of Rectangular Pieces

2017

Abstract Nesting problems consist of placing multiple items onto larger shapes finding a good arrangement. The goal of the nesting process is to minimize the waste of material. It is common to assume, as in the present work, that the stock sheet has fixed width and infinite height, since in the real world a company may have to cut pieces from a roll of material. The complexity of such problems is often faced with a two-stage approach, so-called “hybrid algorithm”, combining a placement routine and a meta-heuristic algorithm. Starting from a given positioning sequence, the placement routine generates a non-overlapping configuration. The encoded solution is manipulated and modified by the met…

0209 industrial biotechnologyMathematical optimization021103 operations researchbusiness.industry0211 other engineering and technologiesNesting (process)No Fit Polygon algorithm.Sheet metal optimisation02 engineering and technologyGeneral MedicineGeometric problemsSheet metal optimisation; meta-heuristic algorithm; No Fit Polygon algorithm.020901 industrial engineering & automationSoftwaremeta-heuristic algorithmPython languageNo fit polygonMeta heuristicbusinessAlgorithmFixed widthSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneMathematics
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Optimal control of discrete-time interval type-2 fuzzy-model-based systems with D-stability constraint and control saturation

2016

This paper investigates the optimal control problem for discrete-time interval type-2 (IT2) fuzzy systems with pole constraints. An IT2 fuzzy controller is characterized by two predefined functions, and the membership functions and the premise rules of the IT2 fuzzy controller can be chosen freely. The pole assignment is considered, which is constrained in a presented disk region. Based on Lyapunov stability theory, sufficient conditions of asymptotic stability with an H ∞ performance are obtained for the discrete-time IT2 fuzzy model based (FMB) system. Based on the criterion, the desired IT2 state-feedback controller is designed to guarantee that the closed-loop system is asymptotically s…

0209 industrial biotechnologyMathematical optimizationAdaptive neuro fuzzy inference system02 engineering and technologyFuzzy control systemOptimal controlDefuzzificationFuzzy logic020901 industrial engineering & automationControl and Systems EngineeringControl theorySignal Processing0202 electrical engineering electronic engineering information engineeringFuzzy set operationsFuzzy number020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionElectrical and Electronic EngineeringSoftwareMathematicsSignal Processing
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Metaheuristic procedures for the lexicographic bottleneck assembly line balancing problem

2015

The goal of this work is to develop an improved procedure for the solution of the lexicographic bottleneck variant of the assembly line balancing problem (LB-ALBP). The objective of the LB-ALBP is to minimize the workload of the most heavily loaded workstation, followed by the workload of the second most heavily loaded workstation and so on. This problem-recently introduced to the literature (Pastor, 2011)-has practical relevance to manufacturing facilities. We design, implement and fine-tune GRASP, tabu search (TS) and scatter search (SS) heuristics for the LB-ALBP and show that our procedures are able to obtain solutions of a quality that outperforms previous approaches. We rely on both s…

0209 industrial biotechnologyMathematical optimizationComputer scienceStrategy and Management0211 other engineering and technologiesassembly line balancingheuristics02 engineering and technologyManagement Science and Operations ResearchHeuristic algorithms.BottleneckManagement Information Systemslb-albp020901 industrial engineering & automation:Economia i organització d'empreses [Àrees temàtiques de la UPC]Genetic algorithmgenetic algorithmMetaheuristicsearchMarketingmetaheuristicsmodel021103 operations researchGRASPWorkloadTabu searchmultiplelexicographic bottleneckProgramació heurísticanetworkHeuristicsTreball en cadenaJournal of the Operational Research Society
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Opinion Dynamics and Stubbornness via Multi-Population Mean-Field Games

2016

This paper studies opinion dynamics for a set of heterogeneous populations of individuals pursuing two conflicting goals: to seek consensus and to be coherent with their initial opinions. The multi-population game under investigation is characterized by (i) rational agents who behave strategically, (ii) heterogeneous populations, and (iii) opinions evolving in response to local interactions. The main contribution of this paper is to encompass all of these aspects under the unified framework of mean-field game theory. We show that, assuming initial Gaussian density functions and affine control policies, the Fokker---Planck---Kolmogorov equation preserves Gaussianity over time. This fact is t…

0209 industrial biotechnologyMathematical optimizationConsensusControl and OptimizationHeterogeneous populationsPopulationOpinion dynamics Consensus Heterogeneous populations Stubbornness Mean-field games02 engineering and technologyMean-field gamesManagement Science and Operations Research01 natural sciences020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaStubbornness0101 mathematicseducationSet (psychology)Opinion dynamicsFinite setMathematicseducation.field_of_studyStochastic processApplied MathematicsOpinion dynamics Consensus Heterogeneous populations Stubbornness Mean-field gamesRational agentOptimal control010101 applied mathematicsTheory of computationSettore MAT/09 - Ricerca OperativaGame theory
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Game Theoretic Decentralized Feedback Controls in Markov Jump Processes

2017

This paper studies a decentralized routing problem over a network, using the paradigm of mean-field games with large number of players. Building on a state-space extension technique, we turn the problem into an optimal control one for each single player. The main contribution is an explicit expression of the optimal decentralized control which guarantees the convergence both to local and to global equilibrium points. Furthermore, we study the stability of the system also in the presence of a delay which we model using an hysteresis operator. As a result of the hysteresis, we prove existence of multiple equilibrium points and analyze convergence conditions. The stability of the system is ill…

0209 industrial biotechnologyMathematical optimizationDecentralized routing policies; Hysteresis; Inverse control problem; Mean-field games; Optimal control; Control and Optimization; Management Science and Operations Research; Applied MathematicsControl and OptimizationStability (learning theory)02 engineering and technologyManagement Science and Operations ResearchMean-field games01 natural sciencesDecentralized routing policie020901 industrial engineering & automationControl theorySettore MAT/05 - Analisi MatematicaMean-field gameConvergence (routing)0101 mathematicsMean field gamesMathematicsEquilibrium pointSettore SECS-S/06 - Metodi mat. dell'economia e Scienze Attuariali e FinanziarieDecentralized routing policies; Hysteresis; Inverse control problem; Mean-field games; Optimal controlApplied MathematicsHysteresis010102 general mathematics[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]Optimal controlOptimal control Mean-field games Inverse control problem Decentralized routing policies HysteresisDecentralised systemOptimal control Mean-field games Inverse control problem Decentralized routing policies HysteresisExpression (mathematics)Optimal controlTheory of computationDecentralized routing policiesHysteresiInverse control problemRouting (electronic design automation)Settore MAT/09 - Ricerca Operativa
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