Fuzzy C-means-based scenario bundling for stochastic service network design
Stochastic service network designs with uncertain demand represented by a set of scenarios can be modelled as a large-scale two-stage stochastic mixed-integer program (SMIP). The progressive hedging algorithm (PHA) is a decomposition method for solving the resulting SMIP. The computational performan...
| Main Authors: | , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
2017
|
| Online Access: | https://eprints.nottingham.ac.uk/48609/ |