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speciation

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GAGA is a fast, header only, multi-objective, and distributed evolutionary algorithm library written in modern C++. It is designed to be easily usable with various genotype representations and allows the user to enable or disable several features such as novelty search or speciation. It also produces and exports various customizable statistics.

  • Updated Oct 6, 2021
  • C++

EvoLatent — Simulated Evolution in Latent Space. An open-source Python framework for evolving artificial intelligence rather than designing it. Neuroevolution + novelty search + NEAT-style speciation + open-ended evolution with structural genome mutations.

  • Updated Sep 3, 2026
  • Python

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