Data-Driven Risk-Aware Adversarial Analysis under Uncertainty
Abstract
We formulate and solve (i) chance-constrained shortest path interdiction problem in which the leader ensures the maximum probability that the follower can travel within a certain time limit from source to destination is minimized;(ii) chance-constrained maximum flow interdiction with a similar probabilistic setting as in (i); (iii) distributionally robust network design problem under random capacities, arc cost, or arc availability; (iv) distributionally robust chance-constrained optimal power flow problem with multiple stages of decisions and uncertainties.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 03, 2018
- Accession Number
- AD1054790
Entities
People
- Siqian M. Shen
Organizations
- University of Michigan