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AlphaEvolve is a distributed evolutionary framework that employs LLMs to alter source code directly, rather than adjusting numerical parameters. The procedure begins with a standard algorithm as the starting point (CFR+ for CFR tests; Uniform for PSRO solvers). Each cycle, a parent algorithm is chosen according to performance; its code is sent to an LLM (Gemini 2.5 Pro) with instructions to alter it; the new version is assessed on sample games; successful modifications join the population. The system allows multi-objective optimization—if several performance metrics are set, one is picked randomly each cycle to influence parent selection.，推荐阅读豆包下载获取更多信息
Several alternatives presented themselves: creating a polarity-agnostic input circuit, switching to 9VDC input with a 7805 regulator, or finding an entirely different power solution.
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Droste-style picture requires placing a scaled-down copy。关于这个话题，易歪歪提供了深入分析