Search results for "A* algorithm"

showing 10 items of 2538 documents

Chromosome numbers for the Italian flora: 11

2021

In this contribution, new chromosome data obtained on material collected in Italy are presented. It includes counts for Centaurea aegusae, Hieracium racemosum subsp. lucanum, H. australe subsp. australe, Lysimachia arvensis subsp. arvensis, Micromeria graeca subsp. graeca, and M. graeca subsp. consentina.

0106 biological sciencescytotaxonomyFloraSettore BIO/02 - Botanica SistematicafungicytogeographyBotanyZoologyPlant Sciencecytogeography; cytotaxonomy; endemic taxa; polyploidyBiology010603 evolutionary biology01 natural sciencesChromosome (genetic algorithm)QK1-989endemic taxabacteriaEcology Evolution Behavior and Systematicspolyploidy010606 plant biology & botany
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Modelling binary mixtures of herbicides in populations resistant to one of the components: evaluation for resistance management

2008

BACKGROUND: Herbicide mixtures are commonly proposed to delay the selection of herbicide resistance in susceptible populations (called the SM strategy). However, in practice, herbicide mixtures are often used when resistance to one of the two active ingredients has already been detected in the targeted population (called the RM strategy). It is doubtful whether such a practice can select against resistance, as the corresponding selection pressure is still exerted. As a consequence, the effect of mixtures on the evolution of an already detected resistance to one of the herbicides in the combination remains largely unexplored. In the present work, a simple model was developed to explore furth…

0106 biological scienceseducation.field_of_studyPesticide resistanceResistance (ecology)business.industryPopulationBinary number04 agricultural and veterinary sciencesGeneral Medicine01 natural sciencesBiotechnologyInsect Science040103 agronomy & agricultureHerbicide resistance0401 agriculture forestry and fisheriesBiochemical engineeringeducationbusinessAgronomy and Crop ScienceSelection (genetic algorithm)010606 plant biology & botanyMathematicsPest Management Science
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The mechanistic basis of demographic Allee effects: The search for mates

2017

In Focus: Berec, L., Kremer, A.M., Bernhauverova, V., & Drake, J.M. (2017). Density-dependent selection on mate-finding Allee effects. Journal of Animal Ecology, 87, 24-35. https://doi.org/10.1111/1365-2656.12662 In Focus: Shaw, A.K., Kokko, H., & Neubert, M.G. (2017). Details of mate finding drive dynamics of sex structured invasions. Journal of Animal Ecology, 87, 36-46. https://doi.org/10.1111/1365-2656.12658 Lowered population growth ability at low abundances is called the demographic Allee effect. The difficulty of finding mates in a sparse population is the best documented pathway through which a demographic Allee effect might arise. The articles in focus here aim to establish the mec…

0106 biological scienceseducation.field_of_studyPopulationBiology010603 evolutionary biology01 natural sciencesPopulation density010601 ecologysymbols.namesakeDensity dependenceMate choiceAnimal ecologysymbolsPopulation growthAnimal Science and ZoologyeducationEcology Evolution Behavior and SystematicsSelection (genetic algorithm)DemographyAllee effectJournal of Animal Ecology
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Individual level consistency and correlations of fish spatial behaviour assessed from aquatic animal telemetry

2017

The potential for populations to undergo adaptive evolution depends on individual variation in traits under selection and how multiple traits are correlated. While fitness relates to the performance of animals in the wild, most of the research on evolutionary potential of behavioural traits has used captive or mesocosm settings, especially with aquatic organisms. We investigated the individual level consistency (personalities) and correlations (behavioural syndromes) of fitness-related behavioural traits displayed by a harvested marine fish in the natural environment, and the potential of such individual level behaviour to constrain adaptive evolution. For this, we acoustically tracked 303 …

0106 biological scienceseducation.field_of_studyRange (biology)Ecology010604 marine biology & hydrobiologyHome rangePopulationAquatic animalBiologybiology.organism_classification010603 evolutionary biology01 natural sciencesBiological dispersalGadusAnimal Science and ZoologyeducationDiel vertical migrationEcology Evolution Behavior and SystematicsSelection (genetic algorithm)Animal Behaviour
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Toward a mechanistic understanding of vulnerability to hook-and-line fishing: Boldness as the basic target of angling-induced selection

2017

In passively operated fishing gear, boldness-related behaviors should fundamentally affect the vulnerability of individual fish and thus be under fisheries selection. To test this hypothesis, we used juvenile common-garden reared carp (Cyprinus carpio) within a narrow size-range to investigate the mechanistic basis of behavioral selection caused by angling. We focused on one key personality trait (i.e., boldness), measured in groups within ponds, two morphological traits (body-shape and head-shape), and one life-history trait (juvenile growth capacity) and studied mean standardized selection gradients caused by angling. Carp behavior was highly repeatable within ponds. In the short-term, ov…

0106 biological sciencesgrowthmedia_common.quotation_subjectanglingFishingevoluutioselectionevolutionary changeBiologykasvuAffect (psychology)Fish stockeläinten käyttäytyminen010603 evolutionary biology01 natural sciencescatchabilityGeneticsJuvenileCarpEcology Evolution Behavior and SystematicsSelection (genetic algorithm)media_commonBoldnessEcologykalakannat010604 marine biology & hydrobiologyongintaOriginal Articlesbiology.organism_classificationTraitta1181Original ArticleGeneral Agricultural and Biological SciencesEvolutionary Applications
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Geographic mosaic of selection by avian predators on hindwing warning colour in a polymorphic aposematic moth

2020

AbstractWarning signals are predicted to develop signal monomorphism via positive frequency-dependent selection (+FDS) albeit many aposematic systems exhibit signal polymorphism. To understand this mismatch, we conducted a large-scale predation experiment in four locations, among which the frequencies of hindwing warning coloration of aposematic Arctia plantaginis differ. Here we show that selection by avian predators on warning colour is predicted by local morph frequency and predator community composition. We found +FDS to be strongest in monomorphic Scotland, and in contrast, lowest in polymorphic Finland, where different predators favour different male morphs. +FDS was also found in Geo…

0106 biological sciencespredatorspredator-prey interactionsFrequency-dependent selectionFREQUENCY-DEPENDENT SELECTIONDIVERSITYMoths01 natural sciencesMüllerian mimicrytäpläsiilikäsPredationmuuntelu (biologia)Arctia plantaginisPredatorFinland0303 health sciencesMonomorphismsaaliseläimetluonnonvalintaEcologywood tiger mothVARIABLE SELECTIONDIFFERENTIATIONPOISON FROG1181 Ecology evolutionary biologyMULLERIAN MIMICRYvaroitusväriColorZoologyAposematismBiology010603 evolutionary biologyBirds03 medical and health sciencesArctia plantaginisAposematismPARASEMIAcolour polymorphismpetoeläimetAnimalsaposematismfrequency‐dependent selectionEcology Evolution Behavior and SystematicsSelection (genetic algorithm)030304 developmental biologysignal variationsignal convergence010604 marine biology & hydrobiologypredator–prey interactionsEVOLUTIONSIGNALScotlandCommunity compositionPredatory Behavior
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The Strategic Reference Gene: an organismal theory of inclusive fitness

2019

How to define and use the concept of inclusive fitness is a contentious topic in evolutionary theory. Inclusive fitness can be used to calculate selection on a focal gene, but it is also applied to whole organisms. Individuals are then predicted to appear designed as if to maximise their inclusive fitness, provided that certain conditions are met (formally when interactions between individuals are 'additive'). Here we argue that applying the concept of inclusive fitness to organisms is justified under far broader conditions than previously shown, but only if it is appropriately defined. Specifically, we propose that organisms should maximise the sum of their offspring (including any accrued…

0106 biological sciencesselfish geneHamilton’s ruleEvolutionevoluutioKin selection010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesReference genekausaaliteettiSelection GeneticsukulaisvalintaQuantitative Biology - Populations and Evolutionsocial evolutionEvolutionary theorySelection (genetic algorithm)030304 developmental biologyGeneral Environmental Sciencesopeutuminen0303 health sciencesgeenitModels GeneticGeneral Immunology and MicrobiologyReproductionPopulations and Evolution (q-bio.PE)Inclusive fitnessGeneral MedicineBiological EvolutionCausalityPhenotypeEvolutionary biologyFOS: Biological scienceskausaliteettiGenetic FitnessAdaptationSocial evolutionGeneral Agricultural and Biological SciencesPsychology
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Online Scheduling of Task Graphs on Hybrid Platforms

2018

Modern computing platforms commonly include accelerators. We target the problem of scheduling applications modeled as task graphs on hybrid platforms made of two types of resources, such as CPUs and GPUs. We consider that task graphs are uncovered dynamically, and that the scheduler has information only on the available tasks, i.e., tasks whose predecessors have all been completed. Each task can be processed by either a CPU or a GPU, and the corresponding processing times are known. Our study extends a previous \(4\sqrt{m/k}\)-competitive online algorithm [2], where m is the number of CPUs and k the number of GPUs (\(m\ge k\)). We prove that no online algorithm can have a competitive ratio …

020203 distributed computingCompetitive analysisonline algorithmsComputer scienceHeuristicSchedulingSymmetric multiprocessor system02 engineering and technologyParallel computingUpper and lower boundsheterogeneous computingGraph020202 computer hardware & architectureScheduling (computing)task graphs0202 electrical engineering electronic engineering information engineeringOnline algorithm[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]
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Energy Efficient Optimization for Computation Offloading in Fog Computing System

2017

In this paper, we investigate the energy efficient computation offloading scheme in a multi-user fog computing system. We consider the users need to make the decision on whether to offload the tasks to the fog node nearby, based on the energy consumption and delay constraint. In particular, we utilize queuing theory to bring a thorough study on the energy consumption and execution delay of the offloading process. Two queuing models are applied respectively to model the execution processes at the mobile device (MD) and fog node. Based on the theoretical analysis, an energy efficient optimization problem is formulated with the objective to minimize the energy consumption subjects to execution…

020203 distributed computingOptimization problemComputer sciencebusiness.industryNode (networking)Distributed computing020206 networking & telecommunicationsCloud computing02 engineering and technologyEnergy consumptionDistributed algorithm0202 electrical engineering electronic engineering information engineeringComputation offloadingbusinessMobile deviceEdge computingEfficient energy useGLOBECOM 2017 - 2017 IEEE Global Communications Conference
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Towards a simulation-based tuning of motion cueing algorithms

2016

Abstract This paper deals with the problem of finding the best values for the parameters of Motion Cueing Algorithms (MCA). MCA are responsible for controlling the movements of robotic motion platforms used to generate the gravito-inertial cues of vehicle simulators. The values of their multiple parameters, or coefficients, are hard to establish and they dramatically change the behaviour of MCA. The problem has been traditionally addressed in a subjective, partially non-systematic, iterative, time-consuming way, by seeking pilot/driver feedback on the generated motion cues. The aim of this paper is to introduce a different approach to solve the problem of MCA tuning, by making use of a simu…

020301 aerospace & aeronauticsCorrectnessSeries (mathematics)Computer science02 engineering and technologyVirtual realityParameter spaceMotion (physics)0203 mechanical engineeringHardware and ArchitectureModeling and SimulationGenetic algorithm0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingHeuristicsSimulation basedAlgorithmSoftwareSimulation Modelling Practice and Theory
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