Search results for "Genetic algorithm"

showing 10 items of 834 documents

Using Genetic Algorithms for Optimizing the PPC in the Highway Horizontal Alignment Design.

2016

Various studies have emphasized the interesting advantages related to the use of new transition curves for improving the geometric design of highway horizontal alignments. In a previous paper, one of the writers proposed a polynomial curve, called a polynomial parametric curve (PPC), proving its efficiency in solving several design problems characterized by a very complex geometry (egg-shaped transition, transition between reversing circular curves, semidirect and inner-loop connections, and so on). The PPC also showed considerable advantages from a dynamic perspective, as evidenced by the analysis of the main dynamic variables related to motion (as well as rate of change of radial accelera…

050210 logistics & transportationPolynomialMathematical optimizationFitness function05 social sciencesPerspective (graphical)Motion (geometry)020101 civil engineering02 engineering and technologyTransition curve0201 civil engineeringComputer Science ApplicationsGeometric designComplex geometryGenetic algorithmGenetic algorithms Horizontal alignment Polynomial curve Transition curve0502 economics and businessHorizontal alignment.Polynomial curveSettore ICAR/04 - Strade Ferrovie Ed AeroportiReversingParametric equationAlgorithmCivil and Structural EngineeringMathematics
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Least squares and genetic algorithms for parameter identification of induction motors

2001

Abstract This paper deals with off-line parameter identification of induction motors by means of least square (LS) techniques and genetic algorithms (GA), using stator voltages, stator currents and velocity as input–output data. For analytical identification by LS algorithms, filtering of experimental data is performed by means of anticausal filters. Two models useful for identification are derived in which the products of acceleration and rotor fluxes, usually neglected, are taken into account. The GA-based identification method consists of the determination of the best parameters which match input–output behaviour of the motor. Both methods are investigated and compared by means of experi…

EngineeringParameter identificationRotor (electric)Statorbusiness.industryApplied MathematicsExperimental dataLeast squareLeast squaresComputer Science Applicationslaw.inventionAccelerationIdentification (information)Stator voltageGenetic algorithmSettore ING-INF/04 - AutomaticaControl and Systems EngineeringlawControl theoryElectrical and Electronic EngineeringInduction motorbusinessInduction motor
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How challenging RADseq data turned out to favor coalescent-based species tree inference. A case study in Aichryson (Crassulaceae)

2022

Analysing multiple genomic regions while incorporating detection and qualification of discordance among regions has become standard for understanding phylogenetic relationships. In plants, which usually have comparatively large genomes, this is feasible by the combination of reduced-representation library (RRL) methods and high-throughput sequencing enabling the cost effective acquisition of genomic data for thousands of loci from hundreds of samples. One popular RRL method is RADseq. A major disadvantage of established RADseq approaches is the rather short fragment and sequencing range, leading to loci of little individual phylogenetic information. This issue hampers the application of coa…

0106 biological sciences570clustering threshold selectionInferenceLocus (genetics)Computational biologyBiologyCrassulaceaedata bias010603 evolutionary biology01 natural sciencesGenomeCoalescent theoryspecies tree inference03 medical and health scienceslocus filteringGeneticscoalescent-based summary methodCluster analysisMolecular BiologyEcology Evolution Behavior and SystematicsSelection (genetic algorithm)Phylogeny030304 developmental biology0303 health sciencesGenomePhylogenetic treeHigh-Throughput Nucleotide SequencingGenomicsRADseq500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; BiologieTree (data structure)
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Identification of a novel mutation in the alpha-galactosidase A gene in patients with Fabry disease.

2012

Abstract Objectives Mutation analysis of the alpha-galactosidase A (GLA) gene is a valuable tool for the diagnosis of affected families. In our work, we analyze about one thousand samples per year from patients suspected of having Fabry disease (FD). Design and methods We carried out high resolution melting analysis (HRM) and DNA sequencing of all the exons of the GLA gene. We also assayed the alpha-galactosidase A activity in patients' blood. Results In some members of one family, we identified a new mutation in the GLA gene, c.614delC. This is a deletion of a single nucleotide, a cytosine, in exon 4 of the gene which causes a frameshift mutation. Conclusions Patients with the c.614delC mu…

MaleSettore MED/09 - Medicina InternaClinical BiochemistryDNA Mutational AnalysisHigh Resolution MeltFrameshift mutationExonmedicineHumansFrameshift MutationGeneSequence DeletionGeneticsFamily HealthAlpha-galactosidasebiologyBase Sequencealpha-galactosidase A geneGeneral MedicineExonsmedicine.diseaseMolecular biologyFabry diseasealpha-GalactosidaseMutation (genetic algorithm)Mutation testingbiology.proteinFabry DiseaseFemalemutationClinical biochemistry
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P1.13-16 The Diagnostic Accuracy of Circulating Tumor DNA for the Detection of EGFR-T790M Mutation in NSCLC: A Systematic Review and Meta-Analysis

2018

0301 basic medicinePulmonary and Respiratory Medicinebusiness.industryDiagnostic accuracyEGFR T790M03 medical and health sciences030104 developmental biology0302 clinical medicineOncologyCirculating tumor DNA030220 oncology & carcinogenesisMeta-analysisMutation (genetic algorithm)Cancer researchMedicinebusinessJournal of Thoracic Oncology
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Evaluating a hierarchical approach to landscape-level harvest scheduling

2018

Forest planning at the landscape level has the potential to become a large intractable problem. In Finland, Metsähallitus (the state enterprise that manages federally owned land) creates strategic plans to determine the appropriate harvest level. While these plans are feasible, they are not implementable in practice as the harvests are scattered temporally and spatially. Requiring that harvests be organized both temporally and spatially for practical implementation can result in an intractable problem. Through a hierarchical approach, the problem can be organized into steps in which the intractable problem is broken down into smaller easily solvable parts. As an approximation technique, th…

040101 forestryStrategic planningForest planningGlobal and Planetary ChangeIterative and incremental developmentOptimization problem010504 meteorology & atmospheric sciencesEcologyOperations researchComputer scienceForestry04 agricultural and veterinary sciences01 natural sciencesScheduling (computing)Landscape level0401 agriculture forestry and fisheriesState (computer science)Selection (genetic algorithm)0105 earth and related environmental sciencesCanadian Journal of Forest Research
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Coordinate mutation and transformation of mouse fibroblasts: induction by nitroquinoline oxide and modulation by caffeine

1981

Mutation and malignant transformation were followed in the same cells. Mouse fibroblasts (C3H 10T 1/2) were mutated and transformed by 4-nitroquinoline-1-oxide with similar, approximately linear dose-responses. The presence of caffeine immediately after exposure to 4-nitroquinoline-1-oxide potently inhibited mutation and transformation at high but not at low doses of 4-nitroquinoline-1-oxide. Whilst the coordinate induction of mutation and transformation could be explained by both a common target (DNA) or a common reactive species hitting several targets, the identical modulation by a DNA repair inhibitor of both end points suggests fundamental similarities in the nature of the lesions lead…

Cancer ResearchDNA repairDrug ResistanceBiologyMalignant transformationMicechemistry.chemical_compoundCaffeinemedicineAnimalsA-DNAOuabainFibroblastCells CulturedMice Inbred C3HNitroquinolinesDrug SynergismGeneral MedicineMolecular biology4-Nitroquinoline-1-oxideTransformation (genetics)Cell Transformation Neoplasticmedicine.anatomical_structurechemistryMutationMutation (genetic algorithm)Cancer researchCaffeineDNACarcinogenesis
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Evolutionary constraints of warning signals: A genetic trade-off between the efficacy of larval and adult warning coloration can maintain variation i…

2016

To predict evolutionary responses of warning signals under selection, we need to determine the inheritance pattern of the signals, and how they are genetically correlated with other traits contributing to fitness. Furthermore, protective coloration often undergoes remarkable changes within an individual's lifecycle, requiring us to quantify the genetic constraints of adaptive coloration across all the relevant life stages. Based on a 12 generation pedigree with > 11,000 individuals of the wood tiger moth (Arctia plantaginis), we show that high primary defense as a larva (large warning signal) results in weaker defenses as adult (less efficient warning color), due to the negative genetic cor…

0106 biological sciences0301 basic medicineLarvaDirectional selectionEcologyInheritance (genetic algorithm)Phenotypic traitAposematismBiologyTrade-off010603 evolutionary biology01 natural sciencesGenetic correlation03 medical and health sciences030104 developmental biologyEvolutionary biologyGeneticsGeneral Agricultural and Biological SciencesEcology Evolution Behavior and SystematicsSelection (genetic algorithm)Evolution
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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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Evaluation of the effect of chance correlations on variable selection using Partial Least Squares -Discriminant Analysis

2013

Variable subset selection is often mandatory in high throughput metabolomics and proteomics. However, depending on the variable to sample ratio there is a significant susceptibility of variable selection towards chance correlations. The evaluation of the predictive capabilities of PLSDA models estimated by cross-validation after feature selection provides overly optimistic results if the selection is performed on the entire set and no external validation set is available. In this work, a simulation of the statistical null hypothesis is proposed to test whether the discrimination capability of a PLSDA model after variable selection estimated by cross-validation is statistically higher than t…

Variable selectionESTADISTICA E INVESTIGACION OPERATIVAFeature selectionChance correlationsAnalytical ChemistrySet (abstract data type)ResamplingPartial least squares regressionStatisticsHumansMetabolomicsLeast-Squares AnalysisSelection (genetic algorithm)ProbabilityGaucher DiseaseModels StatisticalChemistryDiscriminant AnalysisReproducibility of ResultsPartial Least Squares-Discriminant Analysis (PLSDA)Linear discriminant analysisVariable (computer science)Null hypothesisAlgorithmsSoftware
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