Search results for "optimization"

showing 10 items of 2824 documents

Parallel global optimization : structuring populations in differential evolution

2010

metaheuristicsoptimointistagnaatioglobal optimizationalgoritmitdifferentiaali evoluutioevoluutiolaskentaDifferential EvolutionEvolutionary computationevolutionary algorithmsmatemaattinen optimointiglobaali optimointitietojenkäsittely
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On automatic algorithm configuration of vehicle routing problem solvers

2019

Many of the algorithms for solving vehicle routing problems expose parameters that strongly influence the quality of obtained solutions and the performance of the algorithm. Finding good values for these parameters is a tedious task that requires experimentation and experience. Therefore, methods that automate the process of algorithm configuration have received growing attention. In this paper, we present a comprehensive study to critically evaluate and compare the capabilities and suitability of seven state-of-the-art methods in configuring vehicle routing metaheuristics. The configuration target is the solution quality of eight metaheuristics solving two vehicle routing problem variants.…

metaheuristicsreititysMeta-optimizationComputer scienceProcess (computing)meta-optimizationComputational intelligenceSolverConfiguratoroptimointiComputer engineeringmetaheuristiikkaalgoritmitautomaatiojärjestelmätVehicle routing problemTheory of computationajoneuvotvehicle routing problemautomatic algorithm configurationautomaattiohjausMetaheuristicJournal on Vehicle Routing Algorithms
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Interactive data-driven multiobjective optimization of metallurgical properties of microalloyed steels using the DESDEO framework

2023

Solving real-life data-driven multiobjective optimization problems involves many complicated challenges. These challenges include preprocessing the data, modelling the objective functions, getting a meaningful formulation of the problem, and supporting decision makers to find preferred solutions in the existence of conflicting objective functions. In this paper, we tackle the problem of optimizing the composition of microalloyed steels to get good mechanical properties such as yield strength, percentage elongation, and Charpy energy. We formulate a problem with six objective functions based on data available and support two decision makers in finding a solution that satisfies them both. To …

metallurgiaopen-source softwareinteractive optimizationpäätöksentukijärjestelmätmonitavoiteoptimointidata-driven evolutionary computationmultiple decision makersfysikaaliset ominaisuudetavoin lähdekoodioptimointiArtificial IntelligenceControl and Systems Engineeringinteraktiivisuussurrogate-assisted optimizationmetalliseoksetElectrical and Electronic Engineeringmultiple criteria optimization
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A Multiple Surrogate Assisted Decomposition Based Evolutionary Algorithm for Expensive Multi/Many-Objective Optimization

2019

Many-objective optimization problems (MaOPs) contain four or more conflicting objectives to be optimized. A number of efficient decomposition-based evolutionary algorithms have been developed in the recent years to solve them. However, computationally expensive MaOPs have been scarcely investigated. Typically, surrogate-assisted methods have been used in the literature to tackle computationally expensive problems, but such studies have largely focused on problems with 1–3 objectives. In this paper, we present an approach called hybrid surrogate-assisted many-objective evolutionary algorithm to solve computationally expensive MaOPs. The key features of the approach include: 1) the use of mul…

metamodelsmultiprotocol label switchingmultiobjective optimizationevoluutiolaskentareference vectorscomputational costmonitavoiteoptimointi
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Desirable properties of performance indicators for assessing interactive evolutionary multiobjective optimization methods

2022

Interactive methods support decision makers in finding the most preferred solution in multiobjective optimization problems. They iteratively incorporate the decision maker's preference information to find the best balance among conflicting objectives. Several interactive methods have been developed in the literature. However, choosing the most suitable interactive method for a given problem can prove challenging and appropriate indicators are needed to compare interactive methods. Some indicators exist for a priori methods, where preferences are provided at the beginning of the solution process. We present some numerical experiments that illustrate why these indicators are not suitable for …

metricsoptimointipäätöksentekointeraktiivisuuspäätöksentukijärjestelmätperformance assessmentinteractive methodsmulti-criterion optimization and decision-makingmultiple criteria optimizationmonitavoiteoptimointiperformanceindikaattoritperformance evaluationProceedings of the Genetic and Evolutionary Computation Conference Companion
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Towards constructing a Pareto front approximation for use in interactive forest management planning

2013

The selection of an appropriate multi-objective forest management plan can be a difficult task due to the vast number of alternatives available to the decision maker (DM). The complexity of the task depends e.g. on how clear the preferences of the DM are. For those DMs who do not have clear preferences, interactive methods of forest planning could assist in clarifying preferences and guiding the selection in an efficient fashion. Interactive planning methods are useful when the DM needs to consider a wide range of efficient solutions quickly. With large forest holdings or with complicated forest management goals, the development of new forest plans can become a rather computationally demand…

metsänhoidon suunnitteluoptimointiVuorovaikutteinen päätöksentekometsäsuunnitteluoptimizationInteractive decision making
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Sectoral policies as drivers of forest management and ecosystems services: A case study in Bavaria, Germany

2023

European countries have national sectoral polices to regulate and promote the provision of a wide range of forest ecosystems services (FES). However, potential incoherencies among these policies can negatively affect the efficient provision of FES. In this work, we evaluated the coherence among three national policies from Germany and their ability to effectively provide FES in the future: the Forest Strategy 2020 (FS), the National Strategy on Biological Diversity (BDS), and the German National Policy Strategy on Bioeconomy (BES). Using forest inventory data from the Federal State of Bavaria, we simulated a range of forest management options under three climate trajectories for 100 years i…

metsänkäsittelyGeography Planning and Developmentforest managementForestryforest policyscenario analysisilmastonmuutoksetManagement Monitoring Policy and Lawskenaariotmonitavoiteoptimointibiodiversiteetticlimate changeekosysteemipalvelutmulti-objective optimizationmetsäpolitiikkabiodiversityNature and Landscape ConservationLand Use Policy
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Trade-offs among intensive forestry, ecosystem services and biodiversity in boreal forests

2018

Finnish forests are used extensively for timber production but are also providers of other ecosystem services and harbor unique biodiversity. The ecosystem services approach has so far been used marginally in the context of Finnish forestry; however, due to the multiple values associated with Finnish forests and the impacts forestry operations have on forest ecosystems, it is clearly applicable in this context. In this thesis, I studied the occurrence and severity of trade-offs among ecosystem services and biodiversity conservation in Finnish forests. I used forest inventory data, forest growth simulations, and multi-objective optimization to reveal how the severity of the trade-offs varies…

metsänkäsittelyforest managementsustainabilitykestävä metsätalousmonitavoiteoptimointibiodiversiteettimetsätaloustehometsätalousmetsiensuojelupuuntuotantoekosysteemipalvelutboreaalinen vyöhykeconflictsmulti-objective optimizationtimber productionsimulointiFinland
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A Dynamic Electrical Scheme for the optimal reconfiguration of PV modules under non-homogeneous solar irradiation

2012

This paper presents a strategy for the maximization of the output power of photovoltaic (PV) systems under non homogeneous solar irradiation by means of automatic reconfiguration of the PV arrays layout. The innovation of the proposed approach is the employment of a simple Dynamic Electrical Scheme (DES), allowing a large number of possible modules interconnection, to be installed between the PV generator and the inverter. The models of the PV generator and of the DES have been realized and simulated with Simulink (Dynamic System Simulation for MATLAB). The attained experimental results appear to be quite interesting in terms of the attainable benefit in power and thus energy terms. The lim…

mismatch for photovoltaic modules optimization reconfigurationEngineeringInterconnectionbusiness.industryPhotovoltaic systemControl reconfigurationPV modules photovoltaic MPPT reconfiguration non-homogeneous solar irradiationGeneral MedicineMaximum power point trackingPower (physics)Settore ING-IND/33 - Sistemi Elettrici Per L'EnergiaSettore ING-IND/31 - ElettrotecnicaControl theoryGrid-connected photovoltaic power systemElectronic engineeringInverterbusinessMATLABcomputercomputer.programming_language
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Recursion at the crossroads of sequence modeling, random trees, stochastic algorithms and martingales

2013

This monograph synthesizes several studies spanning from dynamical systems in the statistical analysis of sequences, to analysis of algorithms in random trees and discrete stochastic processes. These works find applications in various fields ranging from biological sequences to linear regression models, branching processes, through functional statistics and estimates of risk indicators for insurances. All the established results use, in one way or another, the recursive property of the structure under study, by highlighting invariants such as martingales, which are at the heart of this monograph, as tools as well as objects of study.

modèles auto-régressifs[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]estimation and prediction errorstochastic gradient algorithmschaîne de Markov à mémoire variable[STAT.TH] Statistics [stat]/Statistics Theory [stat.TH]Digital search treesvariable length Markov chainstrong laws for discrete martingalessuffix trietemps d'occurrences de motifsoptimisation stochastique.dynamical systemtrie des suffixesstochastic optimization.erreur d'estimation et de prédictionArbres digitaux de rechercheauto-regressive modelssystème dynamiquelois fortes de martingales discrètesalgorithmes de gradient stochastiques[MATH.MATH-ST] Mathematics [math]/Statistics [math.ST]occurrences time
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