Search results for "genetic algorithm"

showing 10 items of 834 documents

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
researchProduct

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
researchProduct

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
researchProduct

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
researchProduct

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
researchProduct

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
researchProduct

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
researchProduct

Applications of Evolutionary Computation

2011

EvoCOMPLEX Contributions.- Coevolutionary Dynamics of Interacting Species.- Evolving Individual Behavior in a Multi-agent Traffic Simulator.- On Modeling and Evolutionary Optimization of Nonlinearly Coupled Pedestrian Interactions.- Revising the Trade-off between the Number of Agents and Agent Intelligence.- Sexual Recombination in Self-Organizing Interaction Networks.- Symbiogenesis as a Mechanism for Building Complex Adaptive Systems: A Review.- EvoGAMES Contributions.- Co-evolution of Optimal Agents for the Alternating Offers Bargaining Game.- Fuzzy Nash-Pareto Equilibrium: Concepts and Evolutionary Detection.- An Evolutionary Approach for Solving the Rubik's Cube Incorporating Exact Met…

020301 aerospace & aeronauticsMeta-optimizationbusiness.industryComputer scienceComputer Science::Neural and Evolutionary ComputationEvolutionary algorithm020206 networking & telecommunicationsGenetic programming02 engineering and technologyEvolutionary computation0203 mechanical engineeringEstimation of distribution algorithmGrammatical evolutionGenetic algorithm0202 electrical engineering electronic engineering information engineeringArtificial intelligenceCMA-ESbusiness
researchProduct

A Mathematical Model for Vehicle-Occupant Frontal Crash Using Genetic Algorithm

2016

In this paper, a mathematical model for vehicle-occupant frontal crash is developed. The developed model is represented as a double-spring-mass-damper system, whereby the front mass and the rear mass represent the vehicle chassis and the occupant, respectively. The springs and dampers in the model are nonlinear piecewise functions of displacements and velocities respectively. More specifically, a genetic algorithm (GA) approach is proposed for estimating the parameters of vehicle front structure and restraint system. Finally, it is shown that the obtained model can accurately reproduce the real crash test data taken from the National Highway Traffic Safety Administration (NHTSA). The maximu…

0209 industrial biotechnologyChassisbusiness.industryComputer scienceCrash02 engineering and technologyStructural engineeringCrash testDisplacement (vector)DamperShock absorber020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringGenetic algorithmPiecewisebusinessSimulation2016 UKSim-AMSS 18th International Conference on Computer Modelling and Simulation (UKSim)
researchProduct

Optimization of Vehicle-to-Vehicle Frontal Crash Model Based on Measured Data Using Genetic Algorithm

2017

In this paper, a mathematical model for vehicle-to-vehicle frontal crash is developed. The experimental data are taken from the National Highway Traffic Safety Administration. To model the crash scenario, the two vehicles are represented by two masses moving in opposite directions. The front structures of the vehicles are modeled by Kelvin elements, consisting of springs and dampers in parallel, and estimated as piecewise linear functions of displacements and velocities, respectively. To estimate and optimize the model parameters, a genetic algorithm approach is proposed. Finally, it is observed that the developed model can accurately reproduce the real kinematic results from the crash test…

0209 industrial biotechnologyGeneral Computer ScienceComputer scienceCrash02 engineering and technologyVehicle-to-vehicleDamperComputer Science::RoboticsEngineering (all)020901 industrial engineering & automation0203 mechanical engineeringControl theoryparameters estimationGenetic algorithmgenetic algorithmGeneral Materials ScienceSimulationvehicle-to-vehicle crashComputer Science (all)ModelingGeneral EngineeringCrash test020303 mechanical engineering & transportsMaterials Science (all)lcsh:Electrical engineering. Electronics. Nuclear engineeringgenetic algorithm; Modeling; parameters estimation; vehicle-to-vehicle crash; Computer Science (all); Materials Science (all); Engineering (all)lcsh:TK1-9971IEEE Access
researchProduct