OpenAlpha_Evolve uses large language models to generate precise code diffs as mutations in an evolutionary algorithm, enabling autonomous iterative code improvement with sandboxed evaluation.
OpenEvolve combines MAP-Elites evolutionary algorithms with LLMs to autonomously discover and optimize code, achieving 2-3x speedups and state-of-the-art results on real hardware.
QuantaAlpha uses large language models with evolutionary strategies to automate quantitative alpha factor discovery, achieving strong backtest metrics on major indices.
