Adaptability of Improved NEAT in Variable Environments.pdf (573.43 kB)
Download fileAdaptability of Improved NEAT in Variable Environments
Qualitative research experiment to gather descriptive data on the NEAT algorithm’s performance in an environment with variability. Individual research performed for my AP Research paper. The experiment was conducted using Python and the NEAT-Python library. The research conducted was for the sake of doing research in the field of AI in computer science and is rather outdated.
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Artificial Intelligence (AI)Machine Learning (ML)Genetic Algorithm (GA)Evolutionary AlgorithmNeuroevolutionNeural Network (NN)AdaptabilityFitnessVariable EnvironmentEvolutionary ProgrammingSpeciationIncreasing Population SizeAutomatic Feature SelectionRecurrent ConnectionsRecurrent Neural Network (RNN)
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