Search results for "A* algorithm"

showing 10 items of 2538 documents

Does recognized genetic management in supportive breeding prevent genetic changes in life-history traits?

2014

International audience; Supportive breeding is one of the last resort conservation strategies to avoid species extinction. Management of captive populations is challenging because several harmful genetic processes need to be avoided. Several recommendations have been proposed to limit these deleterious effects, but empirical assessments of these strategies remain scarce. We investigated the outcome of a genetic management in a supportive breeding for the Houbara Bustard. At the phenotypic level, we found an increase over generations in the mean values of gamete production, body mass and courtship display rate. Using an animal model, we found that phenotypic changes reflected genetic changes…

0106 biological sciencesConservation geneticsquantitative genetics010603 evolutionary biology01 natural sciencesLife history theoryCaptive breedingGeneticsmedicineBustardEcology Evolution Behavior and SystematicsSelection (genetic algorithm)[SDV.GEN]Life Sciences [q-bio]/GeneticsCourtship displaybiologyEcology010604 marine biology & hydrobiologyOriginal ArticlesQuantitative geneticsbiology.organism_classificationmedicine.anatomical_structureconservation geneticsGameteta1181General Agricultural and Biological Sciencescaptive populations[ SDV.GEN ] Life Sciences [q-bio]/GeneticsDemographyEvolutionary Applications
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Protected areas buffer against harvest selection and rebuild phenotypic complexity

2020

14 pages, 6 figures, 4 tables.-- This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited

0106 biological sciencesConservation of Natural ResourcesSurvivalFisheries-induced selectionPopulationFisheriesCapture–recaptureSkagerrak010603 evolutionary biology01 natural sciencesLife history theoryMark and recaptureHomarus gammarusMarine protected areasVital ratesAnimalsBody SizeHumans14. Life underwaterSize structureeducationSelection (genetic algorithm)education.field_of_studyEcologybiologyEcologyNorway010604 marine biology & hydrobiologyfungiFishesbiology.organism_classificationNephropidaeProductivity (ecology)LobsterMarine protected areaVital ratesEcological Applications
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A nondestructive intelligent approach to real‐time evaluation of chicken meat freshness based on computer vision technique

2019

In this study, the capability of a procedure based on combination of computer vision (CV) and artificial intelligence techniques examined for intelligent and nondestructive prediction of chicken meat freshness during the spoilage process at 4°C. The proposed system comprises the following stages: capture images, image preprocessing, image processing, computing channels, feature extraction, feature selection by a hybrid of genetic algorithm (GA) and artificial neuronal network (ANN), and prediction by using ANN. The number of neurons in input layer was determined 33 (selected features) and freshness used as the output. The ideal ANN model was obtained with 33‐10‐1 topology. The high performa…

0106 biological sciencesCorrelation coefficientbusiness.industryComputer scienceGeneral Chemical Engineeringmedia_common.quotation_subjectFeature extractionProcess (computing)Image processingFeature selection04 agricultural and veterinary sciences040401 food science01 natural sciences0404 agricultural biotechnology010608 biotechnologyGenetic algorithmPreprocessorQuality (business)Computer visionArtificial intelligencebusinessFood Sciencemedia_commonJournal of Food Process Engineering
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Cross inhibition improves activity selection when switching incurs time costs

2015

Abstract We consider a behavioural model of an animal choosing between two activities, based on positive feedback, and examine the effect of introducing cross inhibition between the motivations for the two activities. While cross-inhibition has previously been included in models of decision making, the question of what benefit it may provide to an animal’s activity selection behaviour has not previously been studied. In neuroscience and in collective behaviour cross-inhibition, and other equivalent means of coupling evidence-accumulating pathways, have been shown to approximate statistically-optimal decision-making and to adaptively break deadlock, thereby improving decision performance. Sw…

0106 biological sciencesCross inhibitionMathematical optimizationComputer science[SDV]Life Sciences [q-bio]010603 evolutionary biology01 natural sciencesTime cost0501 psychology and cognitive sciencesForaging050102 behavioral science & comparative psychologyGeometric frameworkkäyttäytyminenSelection (genetic algorithm)Positive feedbackBehaviorGeometric Framework05 social sciencesActivity selectionDeadlock (game theory)Cross inhibitionActivity SelectionGeometric frameworkCoupling (computer programming)Cross InhibitionAnimal Science and ZoologyDecision processNeuroscienceCurrent Zoology
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A novel method to predict dark diversity using unconstrained ordination analysis

2019

[Questions] Species pools are the product of complex ecological and evolutionary mechanisms, operating over a range of spatial scales. Here, we focus on species absent from local sites but with the potential to establish within communities — known as dark diversity. Methods for estimating dark diversity are still being developed and need to be compared, as well as tested for the type, and amount, of reference data needed to calibrate these methods. [Location] South Bohemia (48°58′ N, 14°28′ E) and Železné Hory (49°52′ N, 15°34′ E), Czech Republic. [Method] We compared a widely accepted algorithm to estimate species pools (Beals smoothing index, based on species co-occurrence) against a nove…

0106 biological sciencesEcologyReference data (financial markets)Species poolCommunity structureBeals smoothing indexPlant Science010603 evolutionary biology01 natural sciencesCommunity structureEllenberg valuesUnconstrained ordinationCommon speciesDark diversityStatisticsRange (statistics)OrdinationScale (map)Nested sampling algorithmSmoothing010606 plant biology & botanyMathematics
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Multiple‐batch spawning as a bet‐hedging strategy in highly stochastic environments: An exploratory analysis of Atlantic cod

2021

Stochastic environments shape life‐history traits and can promote selection for risk‐spreading strategies, such as bet‐hedging. Although the strategy has often been hypothesised to exist for various species, empirical tests providing firm evidence have been rare, mainly due to the challenge in tracking fitness across generations. Here, we take a ‘proof of principle’ approach to explore whether the reproductive strategy of multiple‐batch spawning constitutes a bet‐hedging. We used Atlantic cod (Gadus morhua) as the study species and parameterised an eco‐evolutionary model, using empirical data on size‐related reproductive and survival traits. To evaluate the fitness benefits of multiple‐batc…

0106 biological sciencesEmpirical dataEvolutionReproductive strategyBiology010603 evolutionary biology01 natural sciencesrisk‐spreadingturskaEnvironmental riskGeneticsQH359-425Gadus14. Life underwaterEcology Evolution Behavior and SystematicsSelection (genetic algorithm)VDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920kuntosopeutuminenlisääntymiskäyttäytyminenEcology010604 marine biology & hydrobiologyOriginal ArticlesExploratory analysisbiology.organism_classificationlisääntyminenfitnesselinkiertomultiple‐batch spawningAtlantic codTraitOriginal Articlebet‐hedgingGeneral Agricultural and Biological SciencesAtlantic codenvironmental stochasticityympäristönmuutoksetEvolutionary Applications
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Reproductive timing and individual fitness

2002

Estimation of individual fitness – i.e. description of the extent to which an individual's genes are represented in future generations – is a feature central to most evolutionary studies. Lifetime reproductive success (LRS) is a commonly used estimate of individual fitness, but because it is rate-insensitive (i.e. timing of reproductive events is not incorporated), it may give a biased estimate of fitness when reproductive timing is an important component of fitness. A review of all empirical studies which have used a recently derived, rate-sensitive estimate of individual fitness, λind revealed that λind ranks the fitness of phenotypes differently from LRS, and that this difference may lea…

0106 biological sciencesEstimation0303 health sciencesReproductive successEcologyContrast (statistics)Phenotypic traitBiology010603 evolutionary biology01 natural sciencesGenetic loadTest (assessment)03 medical and health sciencesEmpirical researchEcology Evolution Behavior and SystematicsSelection (genetic algorithm)030304 developmental biologyEcology Letters
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The past and the present in decision-making: the use of conspecific and heterospecific cues in nest site selection

2014

International audience; Nest site selection significantly affects fitness, so adaptations for assessment of the qualities of available sites are expected. The assessment may be based on personal or social information, the latter referring to the observed location and performance of both conspecific and heterospecific individuals. Contrary to large-scale breeding habitat selection, small-scale nest site selection within habitat patches is insufficiently understood. We analyzed nest site selection in the migratory Collared Flycatcher Ficedula albicollis in relation to present and past cues provided by conspecifics and by resident tits within habitat patches by using long-term data. Collared F…

0106 biological sciencesFicedula albicollismedia_common.quotation_subject[SDV]Life Sciences [q-bio]Bayesian statistics010603 evolutionary biology01 natural sciencesCompetition (biology)Nest0501 psychology and cognitive sciences050102 behavioral science & comparative psychologyEcology Evolution Behavior and SystematicsSelection (genetic algorithm)media_commonParusbiologyReproductive successEcologyprospecting05 social sciencesheterospecific attractionInterspecific competitionbiology.organism_classificationsocial informationconspecific attractionHabitatcompetition
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Time after time: flowering phenology and biotic interactions.

2007

International audience; The role of biotic interactions in shaping plant flowering phenology has long been controversial; plastic responses to the abiotic environment, limited precision of biological clocks and inconsistency of selection pressures have generally been emphasized to explain phenological variation. However, part of this variation is heritable and selection analyses show that biotic interactions can modulate selection on flowering phenology. Our review of the literature indicates that pollinators tend to favour peak or earlier flowering, whereas pre-dispersal seed predators tend to favour off-peak or later flowering. However, effects strongly vary among study systems. To unders…

0106 biological sciencesFlowersBiology010603 evolutionary biology01 natural sciencesPredationPollinatorAnimalsSymbiosisEcosystemEcology Evolution Behavior and SystematicsSelection (genetic algorithm)Abiotic component[SDV.EE]Life Sciences [q-bio]/Ecology environmentBiotic componentEcologyPhenologyReproductionFeeding Behavior15. Life on land[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/BotanicsBiological EvolutionHabitatSeedsBiological dispersal010606 plant biology & botany
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Time at risk: Individual spatial behaviour drives effectiveness of marine protected areas and fitness

2021

11 pages, 6 figures, 1 table.-- Under a Creative Commons license

0106 biological sciencesFully protected areaHome rangeFish species010603 evolutionary biology01 natural sciencesIntraspecific competitionMovement ecologyConservation ecologyTime at riskSpillover effectMarine protected areas14. Life underwaterRepeatabiltyEcology Evolution Behavior and SystematicsSelection (genetic algorithm)Nature and Landscape Conservation010604 marine biology & hydrobiologyFisheryHome rangeGeographyTraitMarine protected areaFish behaviourIndividual behaviourBiological Conservation
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