Search results for "Genetic Algorithms"

showing 8 items of 38 documents

Modeling Efficient and Effective Communications in VANET through Population Protocols

2021

Vehicular Ad-hoc NETworks (VANETs) enable a countless set of next-generation applications thanks to the technological progress of the last decades. These applications rely on the assumption that a simple network of vehicles can be extended with more complex and powerful network infrastructure, in which several Road Side Units (RSUs) are employed to achieve application-specific goals. However, this assumption is not always satisfied as in many real-world scenarios it is unfeasible to have a conspicuous deployment of RSUs, due to both economic and environmental constraints. With the aim to overcome this limitation, in this paper we investigate how the only Vehicle-to-Vehicle (V2V) communicati…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionieducation.field_of_studypopulation protocols VANET Vehicle-to-Vehicle communicationsVehicular ad hoc networkSIMPLE (military communications protocol)Event (computing)Computer scienceDistributed computingPopulationPopulation protocolSchema (genetic algorithms)Software deploymentSynchronization (computer science)education2021 IEEE International Conference on Smart Computing (SMARTCOMP)
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Algorithms and tools for protein-protein interaction networks clustering, with a special focus on population-based stochastic methods

2014

Abstract Motivation: Protein–protein interaction (PPI) networks are powerful models to represent the pairwise protein interactions of the organisms. Clustering PPI networks can be useful for isolating groups of interacting proteins that participate in the same biological processes or that perform together specific biological functions. Evolutionary orthologies can be inferred this way, as well as functions and properties of yet uncharacterized proteins. Results: We present an overview of the main state-of-the-art clustering methods that have been applied to PPI networks over the past decade. We distinguish five specific categories of approaches, describe and compare their main features and …

Statistics and ProbabilityComputer sciencePopulationPopulation basedMachine learningcomputer.software_genreBiochemistryProtein protein interaction networkgenetic algorithmsProtein–protein interactionBioinformatics Clustering Biological NetworksPPI networkscomplex detectionProtein Interaction MappingAnimalsCluster AnalysisHumanseducationCluster analysisMolecular BiologyTopology (chemistry)Class (computer programming)education.field_of_studybusiness.industryfood and beveragesProteinsComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicsArtificial intelligenceData miningbusinessFocus (optics)computerAlgorithms
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Design & Optimization of Large Cylindrical Radomes with Subcell and Non-Orthogonal FDTD Meshes Combined with Genetic Algorithms

2021

The word radome is a contraction of radar and dome. The function of radomes is to protect antennas from atmospheric agents. Radomes are closed structures that protect the antennas from environmental factors such as wind, rain, ice, sand, and ultraviolet rays, among others. The radomes are passive structures that introduce return losses, and whose proper design would relax the requirement of complex front-end elements such as amplifiers. The radome consists mostly in a thin dielectric curved shape cover and sometimes needs to be tuned using metal inserts to cancel the capacitive performance of the dielectric. Radomes are in the near field region of the antennas and a full wave analysis of th…

TK7800-8360Computer Networks and CommunicationsCapacitive sensingAcousticsFDTDNear and far fieldRadiation patternlaw.inventionsub-cell featureslawRadomesElectrical and Electronic EngineeringCurvilinear coordinatesPhysicsOnes electromagnètiquesCurvilinear coordinatesGenetic Algorithmcurvilinear coordinatesGenetic AlgorithmsFinite-difference time-domain methodRadomeradomesHardware and ArchitectureControl and Systems EngineeringSignal ProcessingReturn lossAntenes (Electrònica)Antenna (radio)ElectronicsSub-cell featuresElectronics
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A genetic algorithm for combined topology and shape optimisations

2003

A method to find optimal topology and shape of structures is presented. With the first the optimal distribution of an assigned mass is found using an approach based on homogenisation theory, that seeks in which elements of a meshed domain it is present mass; with the second the discontinuous boundaries are smoothed. The problem of the optimal topology search has an ON/OFF nature and has suggested the employment of genetic algorithms. Thus in this paper a genetic algorithm has been developed, which uses as design variables, in the topology optimisation, the relative densities (with respect to effective material density) 0 or 1 of each element of the structure and, in the shape one, the coord…

Topology optimisationGenetic algorithms; Shape optimisation; Topology optimisation; Computer Science Applications1707 Computer Vision and Pattern Recognition; Computer Graphics and Computer-Aided Design; Industrial and Manufacturing EngineeringStructure (category theory)Shape optimisationComputer Science Applications1707 Computer Vision and Pattern RecognitionTopologyComputer Graphics and Computer-Aided DesignDomain (mathematical analysis)Finite element methodIndustrial and Manufacturing EngineeringComputer Science ApplicationsVariable (computer science)Distribution (mathematics)Genetic algorithmGenetic algorithmLimit (mathematics)Settore ING-IND/15 - Disegno E Metodi Dell'Ingegneria IndustrialeTopology (chemistry)Mathematics
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A multi-objective genetic algorithm for the passenger maritime transportation problem

2014

Over the last years, the transportation demand has continuously increased and a further growth is predicted for the next future especially as regards the maritime sector. As a consequence, shipping companies will be asked to improve the supplied services in order to assure a high quality and time-effective goods and passengers transportation, deriving at the same time their own benefits by minimizing costs. Therefore, the optimization of routes and schedules together with the fleet deployment take a meaningful role on companies profitability and efficiency. In such a perspective, the present paper proposes a multi-objective mathematical programming model to determine a set of routes and sch…

Transportation Routing Scheduling Fleet Sizing Genetic Algorithms
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Analyse spectrale et texturale de données à haute résolution pour la détection automatique des maladies de la vigne

2019

‘Flavescence dorée’ is a contagious and incurable disease present on the vine leaves. In order to contain the infection, the regulations require growers to control each of the vine rows and to remove the suspect vine plants. This monitoring is done on foot during the harvest and mobilizes many people during a strategic period for viticulture. In order to solve this problem, the DAMAV project (Automatic detection of Vine Diseases) aims to develop a solution for automated detection of vine diseases using a micro-drone. The goal is to offer a turnkey solution for wine growers. This tool will allow the search for potential foci, and then more generally any type of vine diseases detectable on th…

capteur multispectralmultispectral sensor[SDV]Life Sciences [q-bio]indices de végétationalgorithmes génétiquesgrapevine diseases detectiondétection des maladies de la vignegenetic algorithms[SDV] Life Sciences [q-bio]successive projections algorithmfeature selectionclassificationalgorithmes de projections successivesvegetation indicesanalyse de texturesélection de caractéristiquestexture analysis
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System identification via optimised wavelet-based neural networks

2003

Nonlinear system identification by means of wavelet-based neural networks (WBNNs) is presented. An iterative method is proposed, based on a way of combining genetic algorithms (GAs) and least-square techniques with the aim of avoiding redundancy in the representation of the function. GAs are used for optimal selection of the structure of the WBNN and the parameters of the transfer function of its neurones. Least-square techniques are used to update the weights of the net. The basic criterion of the method is the addition of a new neurone, at a generic step, to the already constructed WBNN so that no modification to the parameters of its neurones is required. Simulation experiments and compa…

least squares approximations nonlinear dynamical systems identification neural nets iterative methods genetic algorithmsQuantitative Biology::Neurons and CognitionArtificial neural networkNonlinear system identificationIterative methodComputer scienceSystem identificationTransfer functionWaveletSettore ING-INF/04 - AutomaticaControl and Systems EngineeringControl theoryRedundancy (engineering)Electrical and Electronic EngineeringRepresentation (mathematics)InstrumentationAlgorithmIEE Proceedings - Control Theory and Applications
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Soundscape design through evolutionary engines

2008

Abstract Two implementations of an Evolutionary Sound Synthesis method using the Interaural Time Difference (ITD) and psychoacoustic descriptors are presented here as a way to develop criteria for fitness evaluation. We also explore a relationship between adaptive sound evolution and three soundscape characteristics: keysounds, key-signals and sound-marks. Sonic Localization Field is defined using a sound attenuation factor and ITD azimuth angle, respectively (Ii, Li). These pairs are used to build Spatial Sound Genotypes (SSG) and they are extracted from a waveform population set. An explanation on how our model was initially written in MATLAB is followed by a recent Pure Data (Pd) impleme…

sonic spatializationeducation.field_of_studySoundscapesound synthesisGeneral Computer Scienceartificial evolutionComputer scienceSpeech recognitionacoustic descriptorsPopulationEvolutionary algorithmInteraural time differencegenetic algorithmsPure DataPsychoacousticseducationcomputerAcoustic attenuationParametric statisticscomputer.programming_languageComputer Science(all)
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