|
|
 |
|
Mercredi 13 Juin
| Heure: |
14:00 - 15:00 |
| Lieu: |
TBA (Institut Galilée) |
| Résumé: |
Network Interdiction |
| Description: |
Joe Naoum-Sawaya Network interdiction is a class of leader-follower optimization problem that seeks to identify network components to disrupt and inflict a maximum damage to a network. The objective of such models is to study the structural connectivity of the network in order to identify vulnerabilities. The application areas are diverse and include energy, telecommunication, and supply chain networks among others. This talk will review two particular variations of network interdiction: connectivity disruption and flow disruption. The connectivity disruption model identifies the nodes in a network whose disruption minimizes the maximum number of connected node pairs. The flow disruption model identifies the edges whose disruption minimizes the maximum flow between sources and destinations. We will present optimization models as well as solution approaches. We will particularly focus on the cases where uncertainty is present in the edge weights and propose customized solution approaches based on robust optimization, cutting planes, and Benders decomposition. The proposed cutting planes and Benders decomposition exploit the structure of the underlying optimization model and allows the modeling and the solution of general classes of uncertainty sets. |
|
|
