---
id: 20260425-T0-04
title: "EvoForest：计算图开放演化新范式"
title_en: "EvoForest: New ML Paradigm via Graph Evolution"
url: https://ai.daily.yangsir.net/daily/20260425-T0-04
issue_date: 2026-04-25
publish_date: 2026-04-24T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2604.19761
---

# EvoForest：计算图开放演化新范式

arXiv论文提出EvoForest新方法，通过计算图开放演化解决结构化预测问题。该范式突破传统参数化模型优化限制，在复杂任务中表现更好，为机器学习提供新思路。

## English Version

**EvoForest: New ML Paradigm via Graph Evolution**

arXiv paper proposes EvoForest, a new method for structured prediction problems via open-ended evolution of computational graphs. This paradigm突破 traditional parameterized model optimization limits, showing better performance on complex tasks.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2604.19761)

**详情页**：https://ai.daily.yangsir.net/daily/20260425-T0-04

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