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Two population GA for concurrent optimization of feed-forward NN learnable and meta-parameters. Effectively an optimizer alternative to gradient descent based loosely on cooperative co-evolution methodology.

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Name		Name	Last commit message	Last commit date
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GAAP		GAAP
tests/temp_models		tests/temp_models
toy_model		toy_model
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
requirements.txt		requirements.txt
toy_model.png		toy_model.png

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Genetic Algorithm with Auxiliary Population (GAAP)

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Two population GA for concurrent optimization of feed-forward NN learnable and meta-parameters. Effectively an optimizer alternative to gradient descent based loosely on cooperative co-evolution methodology.

neural-network genetic-algorithm evolutionary-algorithm neural-architecture-search neural-architecture-optimization

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