Search results for "A* algorithm"

showing 10 items of 2538 documents

Genetic variability at neutral markers, quantitative trait loci and trait in a subdivided population under selection

2003

Abstract Genetic variability in a subdivided population under stabilizing and diversifying selection was investigated at three levels: neutral markers, QTL coding for a trait, and the trait itself. A quantitative model with additive effects was used to link genotypes to phenotypes. No physical linkage was introduced. Using an analytical approach, we compared the diversity within deme (HS) and the differentiation (FST) at the QTL with the genetic variance within deme (VW) and the differentiation (QST) for the trait. The difference between FST and QST was shown to depend on the relative amounts of covariance between QTL within and between demes. Simulations were used to study the effect of se…

Genetic Markers0106 biological sciencesGenotypeQuantitative Trait LociPopulation[SDV.GEN] Life Sciences [q-bio]/GeneticsQuantitative trait locusBiology010603 evolutionary biology01 natural sciences03 medical and health sciencesFamily-based QTL mappingGeneticsComputer SimulationGenetic variabilitySelection Genetic10. No inequalityeducationSelection (genetic algorithm)ComputingMilieux_MISCELLANEOUS030304 developmental biologyDemeGenetics0303 health scienceseducation.field_of_study[SDV.GEN]Life Sciences [q-bio]/GeneticsModels GeneticDisruptive selectionGenetic VariationGenetic architectureGenetics PopulationPhenotypeEvolutionary biologyResearch Article
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Optimal positioning of water quality sensors in water distribution networks: Comparison of numerical and experimental results

2017

In the water distribution networks, a deliberate or accidental contamination causes loss of water quality; the implementation of a real-time sensor network is essential to promptly detect the event of contamination. To achieve the optimum positioning of the probes, to reduce the cost of the instrumentation and maintenance, and obtaining, at the same time, a reliable monitoring of the system, optimization techniques are widely applied. In the present study, a numerical optimisation approach was compared with the results of an experimental campaign. The optimization problem is formulated in accordance with literature stateof- the-art, using the genetic algorithm NSGA-II coupled with a hydraul…

Genetic algorithmwater distribution networksoptimal positioning of sensor
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The use of Genetic Algorithms to solve the allocation problems in the Life Cycle Assessment

2011

The paper applies a GA (Genetic Algorithms) to a multi-output productive process of essential oils, natural and concen-trated juices from oranges and lemonsThe results obtained for the case study taken into consideration showed that the application of GA allows to respect the energ y and mass balances for the examined system .

Genetic algorithmsLCA Life cycle assessmentSettore ING-IND/11 - Fisica Tecnica Ambientale
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Local old olive landrace varieties in Israel—Valuable plant genetic resources in olive cultivation

2008

It is assumed that the cultivation of olive trees started in the East Mediterranean in the third millennia BCE. Throughout history and until recently, successful olive clones were maintained vegetatively and were grafted either on seedlings or on spheroblasts removed from the base of the trunk. It therefore can be hypothesized that local old olive trees, older than 500 years might represent an ancient gene pool. Modern terminology categorizes local genotypes into four main variety groups. However, in traditional terminology these were further differentiated into 27 cultivars according to their phenotypic traits. This genetic diversity, along with the fact that olive trees have been cultivat…

Genetic diversityRange (biology)Plant SciencePhenotypic traitBiologyOlive treesAgronomyBotanyCultivarGene poolRootstockAgronomy and Crop ScienceEcology Evolution Behavior and SystematicsSelection (genetic algorithm)Israel Journal of Plant Sciences
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Estimation Of The Genetic Parameters Of Eight Soybean Varieties In The Wasegi Village At Prafi District Manokwari Regency

2020

This study aims to estimate genetic parameters including genetic diversity coefficient, phenotypic diversity coefficient, heritability value, and the correlation between the character of plants from eight soybean varieties. The research was conducted from August to December 2017, in the Wasafi Village of Prafi District, Manokwari Regency. The study was designed using Randomized Block Design (RBD) with 8 treatments of soybean varieties. Each treatment was repeated 4 times, to obtain 32 experimental units. The data obtained were analyzed using ANOVA and if it had a significant effect, it was further tested using the Duncan Multiple Range Test (DMRT) at the 95% level, through the Costat progra…

Genetic diversityVeterinary medicineRandomized block designNegative correlationHeritabilityPositive correlationSelection (genetic algorithm)MathematicsJERAMI Indonesian Journal of Crop Science
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On the Parameterization of Cartesian Genetic Programming

2020

In this work, we present a detailed analysis of Cartesian Genetic Programming (CGP) parametrization of the selection scheme ($\mu+\lambda$), and the levels back parameter l. We also investigate CGP’s mutation operator by decomposing it into a self-recombination, node function mutation, and inactive gene randomization operators. We perform experiments in the Boolean and symbolic regression domains with which we contribute to the knowledge about efficient parametrization of two essential parameters of CGP and the mutation operator.

Genetic programming0102 computer and information sciences02 engineering and technologyFunction (mathematics)01 natural sciencesAlgebra010201 computation theory & mathematicsMutation (genetic algorithm)Convergence (routing)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingNode (circuits)sense organsSymbolic regressionParametrizationSelection (genetic algorithm)Mathematics2020 IEEE Congress on Evolutionary Computation (CEC)
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A novel methodology for large-scale phylogeny partition

2011

Understanding the determinants of virus transmission is a fundamental step for effective design of screening and intervention strategies to control viral epidemics. Phylogenetic analysis can be a valid approach for the identification of transmission chains, and very-large data sets can be analysed through parallel computation. Here we propose and validate a new methodology for the partition of large-scale phylogenies and the inference of transmission clusters. This approach, on the basis of a depth-first search algorithm, conjugates the evaluation of node reliability, tree topology and patristic distance analysis. The method has been applied to identify transmission clusters of a phylogeny …

Genetics and Molecular Biology (all)MalepolTheoretical computer scienceInferenceGene Products polGeneral Physics and AstronomyHIV InfectionsBiologyNetwork topologySettore MED/17 - MALATTIE INFETTIVEBiochemistryArticleGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesPhysics and Astronomy (all)0302 clinical medicineSearch algorithmphylogenetic analysis; virus transmissionGene ProductsHumansHIV Infection030212 general & internal medicinePhylogeny030304 developmental biologyAlgorithms; Classification; Female; Gene Products pol; HIV Infections; HIV-1; Humans; Male; Phylogeny; Biochemistry Genetics and Molecular Biology (all); Chemistry (all); Physics and Astronomy (all)Genetics0303 health sciencesBiochemistry Genetics and Molecular Biology (all)MultidisciplinaryPhylogenetic treeNode (networking)phylogenetic analysisChemistry (all)HIVGeneral Chemistryvirus transmissionClassificationPartition (database)AlgorithmIdentification (information)Transmission (telecommunications)HIV-1FemaleMETHODOLOGYAlgorithmsHumanNature Communications
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An operon for histidine biosynthesis in Streptomyces coelicolor

1973

On the assumption that a cluster of five his genes (eight cistrons) in S. coelicolor corresponds to an operon, a genetic analysis of a constitutive mutant was carried out. This strain has a multi-site mutation localized at the (conventional) right end of the his cluster and is derepressed for at least two enzymes coded by genes of the cluster. The study of suitable heterozygous clones (heteroclones), showed the mutation to be cis-dominant, suggesting that the operator region is affected. Most likely the strain has a deletion connecting the his operon to an adjacent amm (ammonium requirement) operon as demonstrated by its inability to utilize nitrate as nitrogen source and to complement or r…

Genetics MicrobialHeterozygoteOperator (biology)Genetic LinkageOperonBiologyGenetic analysisOperonGeneticsHistidineAminesMolecular BiologyGeneAllelesCrosses GeneticGenes Dominantchemistry.chemical_classificationGeneticsNitratesStrain (chemistry)Streptomyces coelicolorChromosome MappingDrug Resistance Microbialbiology.organism_classificationStreptomycesQuaternary Ammonium CompoundsButyratesEnzymechemistryMutation (genetic algorithm)Molecular and General Genetics MGG
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Biomedical implications of viral mutation and evolution

2012

Mutation rates vary hugely across viruses and strongly determine their evolution. In addition, viral mutation and evolution are biomedically relevant because they can determine pathogenesis, vaccine efficacy and antiviral resistance. We review experimental methods for estimating viral mutation rates and how these estimates vary across viral groups, paying special attention to the more general trends. Recent advances positing a direct association between viral mutation rates and virulence, or the use of high-fidelity variants as attenuated vaccines, are also discussed. Finally, we review the implications of viral mutation and evolution for the design of rational antiviral therapies and for e…

Genetics0303 health sciencesMutation rateAttenuated vaccine030306 microbiologyvirusesAntiviral resistanceVirulenceBiologyVaccine efficacy3. Good health03 medical and health sciencesVirologyViral evolutionMutation (genetic algorithm)Experimental methods030304 developmental biology
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Frequency-dependent selection in human immunodeficiency virus type 1.

2001

Genetic variation is the main evolutionary strategy adopted by RNA viruses and retroviruses. Evolution operates through competition between different individuals in the same environment, resulting in the imposition of the fittest variant. The process of competition could be affected by various factors, including the frequency of the different competing individuals. In order to investigate this aspect, individual virus populations derived from a human immunodeficiency virus type 1 isolate were studied at different competing proportions. The dynamics of variant imposition in each competition experiment permitted the detection of frequency-dependent selection (FDS); i.e. the imposition of vari…

GeneticsAnalysis of VarianceMechanism (biology)Genetic heterogeneitymedia_common.quotation_subjectFrequency-dependent selectionRNABiologyHIV Envelope Protein gp120VirologyAdaptation PhysiologicalVirusCompetition (biology)Evolution MolecularVirologyGenetic variationHIV-1Linear ModelsTumor Cells CulturedHumansSelection GeneticSelection (genetic algorithm)media_commonThe Journal of general virology
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