Category:Evolutionary algorithms

Thể loại con

Thể loại này có 4 thể loại con sau, trên tổng số 4 thể loại con.

Tập tin trong thể loại “Evolutionary algorithms”

105 tập tin sau nằm trong thể loại này, trong tổng số 105 tập tin.

• A-Numerical-Approach-to-Ion-Channel-Modelling-Using-Whole-Cell-Voltage-Clamp-Recordings-and-a-pcbi.0030169.sv001.ogv 57 s, 304×208; 1,58 MB
  
• 
  Aaaz.jpg 3.876×6.546; 1,03 MB
  
• Advantages-of-Task-Specific-Multi-Objective-Optimisation-in-Evolutionary-Robotics-pone.0136406.s002.ogv 26 s, 768×576; 1,39 MB
  
• Advantages-of-Task-Specific-Multi-Objective-Optimisation-in-Evolutionary-Robotics-pone.0136406.s003.ogv 35 s, 768×576; 8,24 MB
  
• Advantages-of-Task-Specific-Multi-Objective-Optimisation-in-Evolutionary-Robotics-pone.0136406.s004.ogv 1 min 58 s, 768×576; 5,04 MB
  
• 
  Aed fluxograma.pdf 1.156×1.564; 43 kB
  
• 
  CEA neighborhood types.png 909×554; 38 kB
  
• 
  Computational.science.Genetic.algorithm.Crossover.Cut.and.Splice.svg 300×128; 50 kB
  
• 
  Computational.science.Genetic.algorithm.Crossover.Half.Uniform.Crossover.svg 128×128; 61 kB
  
• 
  Computational.science.Genetic.algorithm.Crossover.One.Point.svg 256×128; 49 kB
  
• 
  Computational.science.Genetic.algorithm.Crossover.Two.Point.svg 256×128; 50 kB
  
• 
  Computational.science.Genetic.algorithm.Crossover.Uniform.Crossover.svg 128×128; 61 kB
  
• 
  Concept of directional optimization in CMA-ES algorithm.png 1.200×795; 315 kB
  
• 
  Concept of directional optimization in CMA-ES.png 800×280; 120 kB
  
• 
  Crystal structure of CaO2.jpg 3.672×1.656; 1,28 MB
  
• 
  Dawkins-Weasel.png 325×725; 30 kB
  
• 
  DE Meta-Fitness Landscape (12 benchmark problems).JPG 1.054×694; 145 kB
  
• 
  DE Meta-Fitness Landscape (Sphere and Rosenbrock).JPG 1.050×698; 158 kB
  
• 
  DE Meta-Optimization Progress (12 benchmark problems).JPG 1.050×603; 95 kB
  
• 
  Deterministic-tournament-selection-3.svg 442×212; 33 kB
  
• 
  DFO.gif 600×500; 6,26 MB
  
• Differential-Polarization-Nonlinear-Optical-Microscopy-with-Adaptive-Optics-Controlled-Multiplexed-ijms-14-18520-s001.ogv 8,1 s, 230×200; 10 kB
  
• 
  EA with two population boundary search 1.gif 464×480; 65 kB
  
• 
  EA with two population boundary search 2.gif 466×480; 63 kB
  
• 
  Eda bmda.pdf 558×539; 3 kB
  
• 
  Eda comit.pdf 558×539; 3 kB
  
• 
  Eda ebna boa.pdf 558×539; 4 kB
  
• 
  Eda ecga.pdf 610×614; 3 kB
  
• 
  Eda mimic.pdf 558×539; 3 kB
  
• 
  Eda semdependencia.pdf 558×539; 3 kB
  
• 
  Effects of NFL Therorem.PNG 488×275; 7 kB
  
• 
  Efficiency.GIF 478×193; 3 kB
  
• 
  Estimation of Distribution Algorithm animation.gif 640×480; 50 kB
  
• Evo1 - primitive.wav 6,2 s; 1,05 MB
  
• Evo2 - intermediate.wav 8,4 s; 1,41 MB
  
• Evo3 - logo.wav 18 s; 3,09 MB
  
• 
  Evolution of several cEAs.png 1.113×739; 371 kB
  
• Evolution-of-Collective-Behaviors-for-a-Real-Swarm-of-Aquatic-Surface-Robots-pone.0151834.s002.ogv 45 s, 1.920×1.080; 9,2 MB
  
• 
  Evolutionary Algorithm.svg 587×338; 187 kB
  
• 
  Fitness proportionate selection example.png 417×133; 7 kB
  
• 
  Function approximation with LCS rules.jpg 495×699; 93 kB
  
• 
  Fuzzy control.jpg 900×448; 77 kB
  
• 
  GA vs Random Search.jpg 689×412; 21 kB
  
• GA-Multi-modal.ogv 1 min 26 s, 638×420; 315 kB
  
• 
  Gene model gene types.png 438×162; 15 kB
  
• 
  Genetic ero crossover.svg 744×502; 23 kB
  
• Genetically engineered.wav 2 min 48 s; 28,3 MB
  
• 
  GP crossover.png 1.660×1.391; 123 kB
  
• 
  GP tree1.png 694×392; 19 kB
  
• 
  GSA flowchart from Information Sciences Volume 179, Issue 13, 13 June 2009, Pages 2232-2248 Special Section on High Order Fuzzy Sets.jpg 315×452; 26 kB
  
• 
  Island population model of an evolutionary algorithm.png 757×696; 46 kB
  
• 
  Iterative-algorithm.svg 1.488×354; 5 kB
  
• 
  Knapsack ga.svg 605×745; 46 kB
  
• 
  Křížení mutace.png 421×450; 15 kB
  
• 
  LogoMelomics.svg 398×398; 10 kB
  
• 
  Meta-Optimization Concept.JPG 796×537; 46 kB
  
• 
  Mixmodel.pdf 891×577; 62 kB
  
• Morphological-Evolution-of-Physical-Robots-through-Model-Free-Phenotype-Development-pone.0128444.s004.ogv 55 s, 720×400; 6,82 MB
  
• Morphological-Evolution-of-Physical-Robots-through-Model-Free-Phenotype-Development-pone.0128444.s005.ogv 55 s, 720×400; 3,36 MB
  
• 
  Mountain crest.GIF 393×194; 5 kB
  
• Mutation acoustic.wav 20 s; 3,33 MB
  
• Mutation modern.wav 12 s; 2,08 MB
  
• 
  Mutation1.gif 370×54; 4 kB
  
• 
  Mutation11.gif 465×55; 5 kB
  
• 
  Neighbourhood concepts.png 234×111; 389 byte
  
• Obstacle-Optimization-for-Panic-Flow---Reducing-the-Tangential-Momentum-Increases-the-Escape-Speed-pone.0115463.s003.ogv 31 s, 640×480; 8,51 MB
  
• 
  Parallel models.png 1.102×873; 65 kB
  
• 
  ParetoFront und Gewichtete Summe.png 1.927×1.688; 88 kB
  
• 
  Pbga2.jpg 450×250; 42 kB
  
• 
  PCA Pires.jpg 2.036×1.110; 353 kB
  
• 
  Probabilty distribution of the muatation relative parameter change.png 1.028×644; 31 kB
  
• 
  Pseudo1.gif 396×511; 20 kB
  
• 
  Pseudo11.gif 475×613; 33 kB
  
• 
  Pseudocode111.gif 432×519; 23 kB
  
• 
  PSO Meta-Fitness Landscape (12 benchmark problems).JPG 1.042×689; 148 kB
  
• 
  Public Utility.png 614×460; 5 kB
  
• 
  Ratio concept in cEAs.png 1.105×656; 142 kB
  
• 
  Recombination11.gif 460×122; 4 kB
  
• 
  Reproduksjonssyklus.jpg 960×720; 32 kB
  
• 
  Robot lcs2.svg 122×121; 6 kB
  
• 
  RWS-numerical-example.png 1.612×279; 15 kB
  
• 
  SantaFeTrail.gif 483×482; 13 kB
  
• 
  Schema simple algorithme genetique.png 279×547; 33 kB
  
• 
  Schematic of a neural network executing the Gaussian adaptation algorithm.GIF 365×159; 11 kB
  
• 
  Selex1.svg 322×274; 10 kB
  
• 
  Shamaye sudo code.png 556×475; 40 kB
  
• 
  Simulované žíhání přechod.png 284×207; 44 kB
  
• 
  Statistically Uniform.png 418×153; 8 kB
  
• 
  SUS-numerical-example.png 1.612×281; 16 kB
  
• The-Effect-of-Exploration-on-the-Use-of-Producer-Scrounger-Tactics-pone.0049400.s001.ogv 3 min 30 s, 1.280×490; 96,13 MB
  
• To-Cooperate-or-Not-to-Cooperate-Why-Behavioural-Mechanisms-Matter-pcbi.1004886.s004.ogv 32 s, 1.600×800; 6,02 MB
  
• 
  TSP11.gif 604×315; 16 kB
  
• 
  TSP1111.gif 1.297×520; 31 kB
  
• 
  TSP2.gif 831×333; 21 kB
  
• 
  Two population EA animation.gif 750×698; 102 kB
  
• 
  Two-population EA search (2).gif 640×480; 64 kB
  
• 
  Two-population EA search (3).gif 640×480; 65 kB
  
• 
  UniformCrossover.png 503×116; 23 kB
  
• 
  Visualization of a population evolving in a dynamic fitness landscape.gif 640×360; 6,54 MB
  
• 
  Visualization of a population evolving in a static fitness landscape.gif 640×360; 4,04 MB
  
• 
  Звено закономерности.png 967×573; 19 kB
  
• 
  Иерархия элементов.png 917×368; 20 kB
  
• 
  Конкретизация.png 949×465; 15 kB
  
• 
  Обобщение.png 665×321; 9 kB
  
• 
  Разветвление и сплетение во времени вариантов событий.png 589×430; 9 kB