Adaptive Scenario Partitioning for Stochastic Bilevel Linear Programs
The results show that basis-aware refinement and informative initial partitions substantially reduce solution times while keeping objective gaps small relative to the reference model, indicating that adaptive partitioning is a promising computational strategy for large-scale stochastic bilevel optimization.