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NeuroEvolution

Genetic Algorithm

standard

  1. create a population ., eg: 100 Neural Networks
  2. Evalute the fitness of NNs
  3. Based on fitness create new populations
    • Pick parents based on fitness scores
    • Crossover
    • Mutation

Project specific

  1. genotype vs phenotype
  2. Fitness function ??