Off-MOO-Bench
收藏arXiv2025-09-30 收录
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https://github.com/lamda-bbo/offline-moo
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资源简介：
该数据集是一个针对离线多目标优化的基准测试，涵盖了从合成问题到真实世界任务的一系列问题。该基准测试为任务、数据集以及开源示例提供了支持，以便于方法比较和推进离线多目标优化领域的研究。其所涉及的任务类型为多目标优化。
This dataset is a benchmark for offline multi-objective optimization, covering a range of problems spanning from synthetic test cases to real-world tasks. This benchmark offers support for tasks, datasets, and open-source examples, facilitating method comparison and advancing research in the domain of offline multi-objective optimization. The task types encompassed herein are multi-objective optimization.
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