Search results for "Genetic algorithm"

showing 10 items of 834 documents

Development of a High Irradiance LED Configuration for Small Field of View Motion Estimation of Fertilizer Particles

2015

International audience; Better characterization of the fertilizer spreading process, especially the fertilizer pattern distribution on the ground, requires an accurate measurement of individual particle properties and dynamics. Both 2D and 3D high speed imaging techniques have been developed for this purpose. To maximize the accuracy of the predictions, a specific illumination level is required. This paper describes the development of a high irradiance LED system for high speed motion estimation of fertilizer particles. A spectral sensitivity factor was used to select the optimal LED in relation to the used camera from a range of commercially available high power LEDs. A multiple objective …

Technology and EngineeringLightIrradianceengineering.materiallcsh:Chemical technologyBiochemistryArticleAnalytical Chemistrylaw.inventionLED illuminationOpticsImaging Three-DimensionallawSPREADERMotion estimationGenetic algorithmRange (statistics)genetic algorithmlcsh:TP1-1185[ INFO.INFO-ES ] Computer Science [cs]/Embedded SystemsElectrical and Electronic EngineeringFertilizersInstrumentationLightingComputingMilieux_MISCELLANEOUS[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingbusiness.industryProcess (computing)AgricultureLED illumination; genetic algorithm; fertilizerLED illumination;genetic algorithm;fertilizerfertilizerAtomic and Molecular Physics and OpticsSIMULATIONSARRAYSSpectral sensitivityengineering[INFO.INFO-ES]Computer Science [cs]/Embedded SystemsFertilizerbusinessAERODYNAMIC PROPERTIES[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingAlgorithmsLight-emitting diode
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Speciation via Differential Host–Plant Use in the Tephritid Fly Tephritis conura

2010

The close association between phytophagous insects and host plants and the possibility for specialization on new plants make phytophagous insects prime candidates for sympatric speciation via host-race evolution. In this chapter, we summarize results addressing host-race evolution in the tephritid fly Tephritis conura (Tephritidae) infesting Cirsium heterophyllum and C. oleraceum (Asteraceae). Host plant distributions in allopatry, sympatry and parapatry, and different infestation patterns enabled us to test geographic speciation scenarios, investigate adaptations, and address the importance of plant population history for diversification of T. conura.

Tephritis conuraSympatrybiologySympatric speciationEcologyTephritidaeGenetic algorithmAllopatric speciationParapatric speciationbiology.organism_classificationCirsium heterophyllum
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Representations for evolutionary algorithms

2015

Successful and efficient use of evolutionary algorithms (EA) depends on the choice of the genotype, the problem representation (mapping from genotype to phenotype) and on the choice of search operators that are applied to the genotypes. These choices cannot be made independently of each other. The question whether a certain representation leads to better performing EAs than an alternative representation can only be answered when the operators applied are taken into consideration. The reverse is also true: deciding between alternative operators is only meaningful for a given representation. In EA practice one can distinguish two complementary approaches. The first approach uses indirect repr…

Theoretical computer sciencebusiness.industryComputer scienceEvolutionary algorithmRepresentation (systemics)Genetic programming0102 computer and information sciences02 engineering and technologyComputingMethodologies_ARTIFICIALINTELLIGENCEPhenotype01 natural sciencesOperator (computer programming)Grammatical evolution010201 computation theory & mathematicsGenetic algorithmGenotype0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingGenetic representationArtificial intelligencebusinessProceedings of the Genetic and Evolutionary Computation Conference Companion
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E-learning approach of the graph coloring problem applied to register allocation in embedded systems

2016

The main aim of this paper consists in developing an effective e-learning tool, focused on evolutionary algorithms, in order to solve the graph coloring problem. Subsidiary, we apply graph coloring for register allocation in embedded systems. From didactic viewpoint, our tool has benefits in the learning process because it helps students to observe the relationship between the graph coloring problem and CPU registers allocation with the help of four developed modules: the genetic algorithm, the graphical viewer, the interference graph for a C program and a web application which collects the simulation results. All these applications are combined by a graphical interface which allows the use…

Theoretical computer sciencebusiness.industryComputer scienceProcessor registerEvolutionary algorithm02 engineering and technology021001 nanoscience & nanotechnologyEmbedded systemGenetic algorithm0202 electrical engineering electronic engineering information engineeringWeb applicationGraph (abstract data type)020201 artificial intelligence & image processingGraph coloring0210 nano-technologybusinessGraphical user interfaceRegister allocation2016 Sixth International Conference on Innovative Computing Technology (INTECH)
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A novel mutation (Thr116IIe) in the presenilin 1 gene in a patient with early-onset Alzheimer's disease

2004

We report a novel presenilin 1 (PSN1) mutation (Thr116Ile) in a woman with early onset Alzheimer's disease (AD). This mutation was not found in 100 healthy controls, indicating that this is not a common polymorphism. The patient presented with forgetfulness at age 45, followed over the next 3 years by a worsening of the memory loss and frequent episodes of confusion and spatial disorientation. Neuroimaging studies were consistent with AD. The analysis of the family's pedigree showed that the proband was apparently the only member affected. Because the early death of several close relatives (i.e. the mother and the grandmother) and the demonstration that the father is not a mutation carrier,…

ThreonineProbandDNA Mutational AnalysisDiseaseBioinformaticsGenetic analysisPresenilinMutation CarrierAlzheimer DiseasePolymorphism (computer science)Presenilin-1medicineHumansEarly-onset Alzheimer's diseaseIsoleucineGeneticsbusiness.industryMembrane ProteinsMiddle Agedmedicine.diseaseNeurologyMutationMutation (genetic algorithm)FemaleSettore MED/26 - NeurologiaNeurology (clinical)businessAlzheimer's Disease Novel mutation Presenilin 1
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Discrete Tomography Reconstruction Through a New Memetic Algorithm

2008

Discrete tomography is a particular case of computerized tomography that deals with the reconstruction of objects made of just one homogeneous material, where it is sometimes possible to reduce the number of projections to no more than four. Most methods for standard computerized tomography cannot be applied in the former case and ad hoc techniques must be developed to handle so few projections.

Tomographic reconstructionSettore INF/01 - Informaticabusiness.industryBinary imageGenetic algorithmInstrumental noiseMemetic algorithmComputer visionTomographyArtificial intelligenceDiscrete Tomography Memetic Algorithms Evolutionary methods.businessDiscrete tomographyMathematics
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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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Traffic fundamentals for A22 Brenner freeway by microsimulation models.

La tesi di dottorato ha avuto come tema lo studio e l’applicazione di un modello di micro-simulazione del traffico in ambito autostradale. Essa si compone di quattro capitoli, con ognuno dei quali si è voluto sintetizzare e descrivere il lavoro di studio e ricerca svolto durante il suddetto corso di Dottorato di Ricerca. L’obiettivo principale del presente lavoro di tesi è stato quello di mettere a punto una metodologia finalizzata all’ottenimento delle relazioni fondamentali di deflusso in ambito autostradale attraverso il software di microsimulazione del traffico Aimsun. Come risulta infatti noto dalla letteratura scientifica, le relazioni fondamentali del deflusso sono utilizzate nel cam…

Traffic engineeringSpeed- density relationshipRoad infrastructure engineeringGenetic algorithmCalibrationTraffic engineering; Traffic microsimulation models; Road infrastructure engineering; Aimsun; Calibration; Genetic algorithm; Speed- density relationshipSettore ICAR/04 - Strade Ferrovie Ed AeroportiTraffic microsimulation modelAimsun
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Capacity-based calculation of passenger car equivalents using traffic simulation at double-lane roundabouts

2018

Abstract Calculation of passenger car equivalents for heavy vehicles represents the starting point for the operational analysis of road facilities and other traffic management applications. This paper introduces a criterion to find the passenger car equivalents that reflect traffic conditions at double-lane roundabouts, where the capacity is typically estimated for each entry lane. Based on the equivalence defined by the proportion of capacity used by vehicles of different classes, the criterion implies a comparison between the capacity that would occur with a traffic demand of passenger cars only and the capacity reached beginning from a demand with a certain percentage of heavy vehicles. …

Traffic microsimulationGenetic algorithmAIMSUNPassenger car equivalentDouble-lane roundabout050210 logistics & transportationComputer scienceSubroutine05 social sciencesTraffic simulation02 engineering and technologyAutomotive engineeringSettore ING-INF/04 - AutomaticaHardware and ArchitectureModeling and Simulation0502 economics and businessTraffic conditionsRoundabout0202 electrical engineering electronic engineering information engineeringSettore ICAR/04 - Strade Ferrovie Ed Aeroporti020201 artificial intelligence & image processingSoftwareSimulation Modelling Practice and Theory
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Multilayer neural networks: an experimental evaluation of on-line training methods

2004

Artificial neural networks (ANN) are inspired by the structure of biological neural networks and their ability to integrate knowledge and learning. In ANN training, the objective is to minimize the error over the training set. The most popular method for training these networks is back propagation, a gradient descent technique. Other non-linear optimization methods such as conjugate directions set or conjugate gradient have also been used for this purpose. Recently, metaheuristics such as simulated annealing, genetic algorithms or tabu search have been also adapted to this context.There are situations in which the necessary training data are being generated in real time and, an extensive tr…

Training setGeneral Computer ScienceArtificial neural networkbusiness.industryComputer scienceComputer Science::Neural and Evolutionary ComputationMathematicsofComputing_NUMERICALANALYSISContext (language use)Management Science and Operations ResearchMachine learningcomputer.software_genreBackpropagationTabu searchModeling and SimulationConjugate gradient methodGenetic algorithmSimulated annealingArtificial intelligencebusinessGradient descentcomputerMetaheuristicComputers & Operations Research
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