关于GCU、沐曦GPGPU、MLU、0卡V100资源4月7日恢复上架的公告>>> 关于共建具身智能开源数据集的倡议>>> 关于云脑任务中统一路径访问方式的公告>>> 关于将启智集群GPU资源迁移至智算集群的公告>>>
Cx
/
黑盒优化Benchmark_RABBO
Not watched
1
0
Fork 0
Code
Releases 0 Wiki Activity
Issues 0 Pull Requests 0 Datasets Model Cloudbrain
Current Dataset Linked Dataset

RABBO

${num_stars} Modify
RABBO（Real-Application Black-Box Optimization benchmark）榜单提供具有实际应用背景的黑盒优化测试问题及评测方案，旨在帮助算法研发者打磨求解真实场景问题的黑盒优化算法，为算法使用者提供各类算法特点与适用场景分析以及使用参考。 黑盒优化问题，泛指目标函数难以从数学上解析表达，缺少可直接利用的梯度信息，仅可利用目标函数输入和对应输出函数值进行最优解搜索的优化问题 RABBO提供了针对黑盒优化问题的数学建模和优化求解的思路，提供了黑盒优化接口规范代码、实际应用背景的测试问题、和效果评测的方案。帮助广大研发者快速学习和研发。
computer vision machine translation Apache 2.0
Upload
File Name
Size
Available Clusters
Status
Creator
Upload Time
Operate
772 B
CPU/GPU
Private Public
2023-03-05 20:17:29
Please read the following content carefully:

Dear OpenI User

Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.

For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》

Agree and continue
Disagree, exit