Robust Discrete Optimization Benchmark Instances
收藏arXiv2022-01-13 更新2024-08-06 收录
下载链接：
http://arxiv.org/abs/2201.04985v1
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资源简介：
该数据集包含针对鲁棒离散优化的多种实例生成程序，涉及min-max、min-max regret、两阶段和可恢复鲁棒性，以及区间、离散或预算不确定性集。数据集不仅包括简单的均匀采样方法，还考虑了构建困难实例的优化模型。
This dataset contains multiple instance generation programs for robust discrete optimization, covering min-max, min-max regret, two-stage and recoverable robustness, as well as interval, discrete or budget uncertainty sets. The dataset not only includes simple uniform sampling methods, but also incorporates optimization models for constructing challenging instances.
创建时间：
2022-01-13
