基于算法运行系统的进化学习算法运行方法、系统、介质

CN119150956BActive Publication Date: 2026-07-17GUANGDONG INST OF INTELLIGENT SCI & TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GUANGDONG INST OF INTELLIGENT SCI & TECH
Filing Date
2024-08-27
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing evolutionary learning algorithm systems face the problem of insufficient computational accuracy in low-precision AI accelerator cards and their cluster systems, making them difficult to apply effectively.

Method used

By dynamically allocating resources between high-precision computing devices and AI accelerators, the target computing device is determined. Then, the evolutionary learning algorithm is optimized in a low-precision environment using gradient-free optimization strategies and evolutionary operators to generate an initial solution and evaluate its fitness, ultimately obtaining the target solution.

Benefits of technology

While ensuring computational accuracy, it expands the hardware application scope of evolutionary learning algorithms, enabling them to run stably on low-precision AI accelerator cards, thereby improving computational efficiency and throughput.

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Abstract

本申请公开了一种基于算法运行系统的进化学习算法运行方法、系统、介质,方法包括响应于目标算法的运行请求,从高精度计算设备和AI加速器中确定目标计算设备;当目标计算设备为AI加速器,确定目标算法的优化属性信息并基于其从无梯度优化策略集合中确定第一目标优化策略并生成第一初始解;利用目标计算设备评估第一初始解在第一目标模拟环境中的第一适应度;基于预设的进化算子和第一适应度对第一初始解进行迭代优化处理,得到目标算法的目标解。根据本申请实施例提供的方案,能够在保障进化学习算法的计算精度的同时,实现将进化学习算法部署在低精度数据格式的AI加速卡上运行,扩展进化学习算法的硬件应用范围。
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