Code and Data Repository for Machine Learning for K-Adaptability in Two-Stage Robust Optimization
该仓库提供了K适应性分支定界算法的代码，包括随机节点选择和机器学习辅助节点选择两种策略，用于求解两阶段鲁棒优化问题。
This directory contains the code for the K-adaptability branch-and-bound (K-B&B) algorithm, with random node selection and ML-informed node selection (i.e., K-B&B-NodeSelection). K-adaptability is a solution approach for two-stage robust optimization problems.