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English(EN) Automating Parent Selection Configuration in Genetic Programming with Agentic AI

Agentic AI 自动化遗传编程配置

研究人员开发了一个 Agentic AI 框架,用于自动化遗传编程中父代选择算法的配置。该框架利用大型语言模型的推理和检索增强生成来识别和实现这些算法。在符号回归问题的测试中,最强的配置,称为 '5 mini--AR',表现出竞争力,生成了已建立的 epsilon-lexicase 实现,并且总体上优于锦标赛选择。 AI

影响 这项研究展示了 AI 在自动化进化系统设计方面的潜力,可能加速使用遗传编程的领域的发展。

排序理由 该集群包含一篇学术论文,详细介绍了一种自动化 AI 系统设计的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.NE (Neural & Evolutionary) 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Agentic AI 自动化遗传编程配置

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该集群包含一篇学术论文,详细介绍了一种自动化 AI 系统设计的新方法。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Jason H. Moore ·

    使用 Agentic AI 自动化遗传编程中的父代选择配置

    We investigate whether agentic artificial intelligence can automate parts of the process of designing genetic programming systems by introducing an agentic framework that identifies and implements parent selection algorithms using large language model (LLM) reasoning and retrieva…