Category:Evolutionary algorithms

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Es werden 3 von insgesamt 3 Unterkategorien in dieser Kategorie angezeigt:
In Klammern die Anzahl der enthaltenen Kategorien (K), Seiten (S), Dateien (D)

Medien in der Kategorie „Evolutionary algorithms“

Folgende 105 Dateien sind in dieser Kategorie, von 105 insgesamt.

• 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
  
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  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
  
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  Aed fluxograma.pdf 1.156 × 1.564; 43 KB
  
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  CEA neighborhood types.png 909 × 554; 38 KB
  
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  Computational.science.Genetic.algorithm.Crossover.Cut.and.Splice.svg 300 × 128; 50 KB
  
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  Computational.science.Genetic.algorithm.Crossover.Half.Uniform.Crossover.svg 128 × 128; 61 KB
  
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  Computational.science.Genetic.algorithm.Crossover.One.Point.svg 256 × 128; 49 KB
  
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  Computational.science.Genetic.algorithm.Crossover.Two.Point.svg 256 × 128; 50 KB
  
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  Computational.science.Genetic.algorithm.Crossover.Uniform.Crossover.svg 128 × 128; 61 KB
  
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  Concept of directional optimization in CMA-ES algorithm.png 1.200 × 795; 315 KB
  
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  Concept of directional optimization in CMA-ES.png 800 × 280; 120 KB
  
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  Crystal structure of CaO2.jpg 3.672 × 1.656; 1,28 MB
  
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  Dawkins-Weasel.png 325 × 725; 30 KB
  
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  DE Meta-Fitness Landscape (12 benchmark problems).JPG 1.054 × 694; 145 KB
  
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  DE Meta-Fitness Landscape (Sphere and Rosenbrock).JPG 1.050 × 698; 158 KB
  
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  DE Meta-Optimization Progress (12 benchmark problems).JPG 1.050 × 603; 95 KB
  
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  Deterministic-tournament-selection-3.svg 442 × 212; 33 KB
  
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  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
  
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  EA with two population boundary search 1.gif 464 × 480; 65 KB
  
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  EA with two population boundary search 2.gif 466 × 480; 63 KB
  
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  Eda bmda.pdf 558 × 539; 3 KB
  
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  Eda comit.pdf 558 × 539; 3 KB
  
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  Eda ebna boa.pdf 558 × 539; 4 KB
  
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  Eda ecga.pdf 610 × 614; 3 KB
  
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  Eda mimic.pdf 558 × 539; 3 KB
  
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  Eda semdependencia.pdf 558 × 539; 3 KB
  
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  Effects of NFL Therorem.PNG 488 × 275; 7 KB
  
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  Efficiency.GIF 478 × 193; 3 KB
  
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  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
  
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  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
  
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  Evolutionary Algorithm.svg 587 × 338; 187 KB
  
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  Fitness proportionate selection example.png 417 × 133; 7 KB
  
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  Function approximation with LCS rules.jpg 495 × 699; 93 KB
  
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  Fuzzy control.jpg 900 × 448; 77 KB
  
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  GA vs Random Search.jpg 689 × 412; 21 KB
  
• GA-Multi-modal.ogv 1 min 26 s, 638 × 420; 315 KB
  
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  Gene model gene types.png 438 × 162; 15 KB
  
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  Genetic ero crossover.svg 744 × 502; 23 KB
  
• Genetically engineered.wav 2 min 48 s; 28,3 MB
  
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  GP crossover.png 1.660 × 1.391; 123 KB
  
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  GP tree1.png 694 × 392; 19 KB
  
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  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
  
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  Island population model of an evolutionary algorithm.png 757 × 696; 46 KB
  
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  Iterative-algorithm.svg 1.488 × 354; 5 KB
  
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  Knapsack ga.svg 605 × 745; 46 KB
  
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  Křížení mutace.png 421 × 450; 15 KB
  
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  LogoMelomics.svg 398 × 398; 10 KB
  
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  Meta-Optimization Concept.JPG 796 × 537; 46 KB
  
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  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
  
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  Mountain crest.GIF 393 × 194; 5 KB
  
• Mutation acoustic.wav 20 s; 3,33 MB
  
• Mutation modern.wav 12 s; 2,08 MB
  
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  Mutation1.gif 370 × 54; 4 KB
  
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  Mutation11.gif 465 × 55; 5 KB
  
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  Neighbourhood concepts.png 234 × 111; 389 Bytes
  
• Obstacle-Optimization-for-Panic-Flow---Reducing-the-Tangential-Momentum-Increases-the-Escape-Speed-pone.0115463.s003.ogv 31 s, 640 × 480; 8,51 MB
  
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  Parallel models.png 1.102 × 873; 65 KB
  
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  ParetoFront und Gewichtete Summe.png 1.927 × 1.688; 88 KB
  
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  Pbga2.jpg 450 × 250; 42 KB
  
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  PCA Pires.jpg 2.036 × 1.110; 353 KB
  
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  Probabilty distribution of the muatation relative parameter change.png 1.028 × 644; 31 KB
  
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  Pseudo1.gif 396 × 511; 20 KB
  
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  Pseudo11.gif 475 × 613; 33 KB
  
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  Pseudocode111.gif 432 × 519; 23 KB
  
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  PSO Meta-Fitness Landscape (12 benchmark problems).JPG 1.042 × 689; 148 KB
  
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  Public Utility.png 614 × 460; 5 KB
  
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  Ratio concept in cEAs.png 1.105 × 656; 142 KB
  
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  Recombination11.gif 460 × 122; 4 KB
  
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  Reproduksjonssyklus.jpg 960 × 720; 32 KB
  
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  Robot lcs2.svg 122 × 121; 6 KB
  
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  RWS-numerical-example.png 1.612 × 279; 15 KB
  
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  SantaFeTrail.gif 483 × 482; 13 KB
  
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  Schema simple algorithme genetique.png 279 × 547; 33 KB
  
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  Schematic of a neural network executing the Gaussian adaptation algorithm.GIF 365 × 159; 11 KB
  
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  Selex1.svg 322 × 274; 10 KB
  
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  Shamaye sudo code.png 556 × 475; 40 KB
  
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  Simulované žíhání přechod.png 284 × 207; 44 KB
  
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  Statistically Uniform.png 418 × 153; 8 KB
  
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  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
  
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  TSP11.gif 604 × 315; 16 KB
  
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  TSP1111.gif 1.297 × 520; 31 KB
  
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  TSP2.gif 831 × 333; 21 KB
  
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  Two population EA animation.gif 750 × 698; 102 KB
  
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  Two-population EA search (2).gif 640 × 480; 64 KB
  
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  Two-population EA search (3).gif 640 × 480; 65 KB
  
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  UniformCrossover.png 503 × 116; 23 KB
  
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  Visualization of a population evolving in a dynamic fitness landscape.gif 640 × 360; 6,54 MB
  
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  Visualization of a population evolving in a static fitness landscape.gif 640 × 360; 4,04 MB
  
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  Звено закономерности.png 967 × 573; 19 KB
  
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  Иерархия элементов.png 917 × 368; 20 KB
  
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  Конкретизация.png 949 × 465; 15 KB
  
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  Обобщение.png 665 × 321; 9 KB
  
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  Разветвление и сплетение во времени вариантов событий.png 589 × 430; 9 KB