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kspurlock / GAAP

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 ideology.

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neural-networkneural-architecture-searchneural-architecture-optimizationgenetic-algorithmevolutionary-algorithm

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 ideology.

neural-networkneural-architecture-searchneural-architecture-optimizationgenetic-algorithmevolutionary-algorithm

License:MIT License

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Language:Python 81.6%Language:PureBasic 18.4%