Search results for "Control and Optimization"

showing 10 items of 448 documents

Stochastic Learning for SAT- Encoded Graph Coloring Problems

2010

The graph coloring problem (GCP) is a widely studied combinatorial optimization problem due to its numerous applications in many areas, including time tabling, frequency assignment, and register allocation. The need for more efficient algorithms has led to the development of several GC solvers. In this paper, the authors introduce a team of Finite Learning Automata, combined with the random walk algorithm, using Boolean satisfiability encoding for the GCP. The authors present an experimental analysis of the new algorithm’s performance compared to the random walk technique, using a benchmark set containing SAT-encoding graph coloring test sets.

Statistics and ProbabilityDiscrete mathematicsControl and OptimizationTheoretical computer scienceComparability graphComputer Science ApplicationsGreedy coloringComputational MathematicsEdge coloringComputational Theory and MathematicsModeling and SimulationGraph (abstract data type)Decision Sciences (miscellaneous)Graph coloringFractional coloringGraph factorizationList coloringMathematicsInternational Journal of Applied Metaheuristic Computing
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PROBABILISTIC QUANTIFICATION OF HAZARDS: A METHODOLOGY USING SMALL ENSEMBLES OF PHYSICS-BASED SIMULATIONS AND STATISTICAL SURROGATES

2015

This paper presents a novel approach to assessing the hazard threat to a locale due to a large volcanic avalanche. The methodology combines: (i) mathematical modeling of volcanic mass flows; (ii) field data of avalanche frequency, volume, and runout; (iii) large-scale numerical simulations of flow events; (iv) use of statistical methods to minimize computational costs, and to capture unlikely events; (v) calculation of the probability of a catastrophic flow event over the next T years at a location of interest; and (vi) innovative computational methodology to implement these methods. This unified presentation collects elements that have been separately developed, and incorporates new contri…

Statistics and ProbabilityHazard (logic)Volcanic hazardsgeographyControl and Optimizationgeography.geographical_feature_categoryProcess (engineering)Probabilistic logicHazard analysiscomputer.software_genreFlow (mathematics)VolcanoModeling and SimulationEconometricsDiscrete Mathematics and CombinatoricsEnvironmental scienceData miningcomputerEvent (probability theory)International Journal for Uncertainty Quantification
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Pseudo-Cut Strategies for Global Optimization

2011

Motivated by the successful use of a pseudo-cut strategy within the setting of constrained nonlinear and nonconvex optimization in Lasdon et al. (2010), we propose a framework for general pseudo-cut strategies in global optimization that provides a broader and more comprehensive range of methods. The fundamental idea is to introduce linear cutting planes that provide temporary, possibly invalid, restrictions on the space of feasible solutions, as proposed in the setting of the tabu search metaheuristic in Glover (1989), in order to guide a solution process toward a global optimum, where the cutting planes can be discarded and replaced by others as the process continues. These strategies can…

Statistics and ProbabilityMathematical optimizationControl and OptimizationProcess (engineering)Space (commercial competition)Tabu searchComputer Science ApplicationsComputational MathematicsNonlinear systemRange (mathematics)Computational Theory and MathematicsOrder (exchange)Modeling and SimulationDecision Sciences (miscellaneous)Global optimizationMetaheuristicMathematicsInternational Journal of Applied Metaheuristic Computing
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Parallel Construction and Query of Index Data Structures for Pattern Matching on Square Matrices

1999

AbstractWe describe fast parallel algorithms for building index data structures that can be used to gather various statistics on square matrices. The main data structure is the Lsuffix tree, which is a generalization of the classical suffix tree for strings. Given ann×ntext matrixA, we build our data structures inO(logn) time withn2processors on a CRCW PRAM, so that we can quickly processAin parallel as follows: (i) report some statistical information aboutA, e.g., find the largest repeated square submatrices that appear at least twice inAor determine, for each position inA, the smallest submatrix that occurs only there; (ii) given, on-line, anm×mpattern matrixPAT, check whether it occurs i…

Statistics and ProbabilityNumerical AnalysisControl and OptimizationAlgebra and Number TheoryApplied MathematicsGeneral MathematicsSuffix treeParallel algorithmData structureSquare matrixSquare (algebra)law.inventionTree (data structure)lawPattern matchingAlgorithmMathematicsData compressionJournal of Complexity
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European Option Pricing and Hedging with Both Fixed and Proportional Transaction Costs

2003

Abstract In this paper we provide a systematic treatment of the utility based option pricing and hedging approach in markets with both fixed and proportional transaction costs: we extend the framework developed by Davis et al. (SIAM J. Control Optim., 31 (1993) 470) and formulate the option pricing and hedging problem. We propose and implement a numerical procedure for computing option prices and corresponding optimal hedging strategies. We present a careful analysis of the optimal hedging strategy and elaborate on important differences between the exact hedging strategy and the asymptotic hedging strategy of Whalley and Wilmott (RISK 7 (1994) 82). We provide a simulation analysis in order …

Stochastic controlTransaction costEconomics and EconometricsMathematical optimizationControl and OptimizationApplied MathematicsMonte Carlo methods for option pricingjel:C61Implied volatilityjel:G13jel:G11option pricing transaction costs stochastic control Markov chain approximationMicroeconomicsVariable pricingOrder (business)Valuation of optionsEconomicsAsian optionFinite difference methods for option pricingSSRN Electronic Journal
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Constrained and unconstrained problems in location theory and inner products

1997

In a real normed space X the optimization problem associated to a finite subset and to a family of positive weights with the objective function [UM0001] has some well known properties when X is an ...

Strictly convex spaceEnergetic spaceMathematical optimizationInner product spaceControl and OptimizationOptimization problemSignal ProcessingApplied mathematicsLocation theoryAnalysisComputer Science ApplicationsNormed vector spaceMathematicsNumerical Functional Analysis and Optimization
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Implementation aspects of interactive multiobjective optimization for modeling environments: The case of GAMS-NIMBUS

2014

Abstract. Interactive multiobjective optimization methods have provided promising results in the literature but still their implementations are rare. Here we introduce a core structure of interactive methods to enable their convenient implementation. We also demonstrate how this core structure can be applied when implementing an interactive method using a modeling environment. Many modeling environments contain tools for single objective optimization but not for interactive multiobjective optimization. Furthermore, as a concrete example, we present GAMS-NIMBUS Tool which is an implementation of the classification-based NIMBUS method for the GAMS modeling environment. So far, interactive met…

Structure (mathematical logic)Mathematical optimizationControl and OptimizationModeling languageComputer sciencepareto optimalityApplied Mathematicsinteractive methodsMultiple objective programmingMulti-objective optimizationComputational MathematicsMultiobjective optimization problemSingle objectivemultiple objective programmingNIMBUS methodImplementationmodeling languages
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A Win-Win Scheme for Improving the Environmental Sustainability of University Commuters’ Mobility and Getting Environmental Credits

2022

European Union Member States are called upon to meet internationally proposed environmental goals. This study is based, in particular, on the recommendation of the European Union (EU), which encourages Member States to pursue effective policies to reduce greenhouse gas (GHGs) emissions, including through appropriate changes in the behavioral habits of citizens. In this respect, among the main sectors involved, transport and mobility should certainly be mentioned. National institutions should be adequately involved in order to achieve the objectives set; in this regard, universities must certainly be considered for their educational value. These latter, for instance, could commit to improvin…

Sustainable mobilityTechnologyControl and OptimizationUniversitiesRenewable Energy Sustainability and the EnvironmentTEfficiency creditsEnergy Engineering and Power TechnologyMobility behaviorsustainable mobility; universities; commuter students; efficiency credits; smartphone’s social-game-based app; mobility behaviorCommuter studentsElectrical and Electronic EngineeringSmartphone’s social-game-based appEngineering (miscellaneous)Energy (miscellaneous)
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Anaerobic Degradation of Environmentally Hazardous Aquatic Plant Pistia stratiotes and Soluble Cu(II) Detoxification by Methanogenic Granular Microbi…

2021

The aquatic plant Pistia stratiotes L. is environmentally hazardous and requires effective methods for its utilization. The harmfulness of these plants is determined by their excessive growth in water bodies and degradation of local aquatic ecosystems. Mechanical removal of these plants is widespread but requires fairly resource-intensive technology. However, these aquatic plants are polymer-containing substrates and have a great potential for conversion into bioenergy. The aim of the work was to determine the main patterns of Pistia stratiotes L. degradation via granular microbial preparation (GMP) to obtain biomethane gas while simultaneously detoxifying toxic copper compounds. The compos…

TechnologyControl and Optimization020209 energyPistia stratiotes L. plantsEnergy Engineering and Power TechnologyBiomass02 engineering and technology010501 environmental sciences<i>Pistia stratiotes</i> L. plantsbiomethanecopper bioremoval01 natural sciencesanaerobic degradation of hazardous plantsBioremediationBiogasbioremediationBioenergyAquatic plantenvironmental biotechnology0202 electrical engineering electronic engineering information engineeringPistiaStratiotesElectrical and Electronic EngineeringEngineering (miscellaneous)0105 earth and related environmental sciencesbiologyRenewable Energy Sustainability and the EnvironmentChemistryTAquatic ecosystemfood and beveragesbiology.organism_classificationbiomethane; <i>Pistia stratiotes</i> L. plants; copper bioremoval; anaerobic degradation of hazardous plants; environmental biotechnology; bioremediation; biomethane productionEnvironmental chemistrybiomethane productionEnergy (miscellaneous)Energies
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Slow Pyrolysis as a Method for Biochar Production from Carob Waste: Process Investigation and Products&rsquo; Characterization

2021

The zero-waste city challenge of the modern society is inevitably addressed to the development of model&rsquo;s waste-to-energy. In this work, carob waste, largely used in the agro-industrial sector for sugar extraction or locust beangum (LBG) production, is considered as feedstock for the slow pyrolysis process. According to the Food and Agriculture Organization of the United Nations (FAO), in 2012, the world production of carobs was ca. 160,000 tons, mainly concentrated in the Mediterranean area (Spain, Italy, Morocco, Portugal, and Greece). To evaluate the biomass composition, at first, the carob waste was subjected to thermo-gravimetric analysis. The high content of fixed carbon suggest…

TechnologyControl and OptimizationBiochar Carob waste Slow pyrolysisRenewable Energy Sustainability and the EnvironmentSettore ING-IND/25 - Impianti ChimiciTEnergy Engineering and Power Technologyslow pyrolysisSettore ING-IND/22 - Scienza E Tecnologia Dei Materialicarob wastebiocharElectrical and Electronic EngineeringEngineering (miscellaneous)slow pyrolysis; carob waste; biocharEnergy (miscellaneous)Energies; Volume 14; Issue 24; Pages: 8457
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