Christian Füllner

Generating Lagrangian Cuts Using Normalized Dual Problems in Multistage Stochastic Mixed-Integer Programming

Based on recent advances in Benders decomposition and two-stage stochastic integer programming, we present a framework to generate Lagrangian cuts in multistage stochastic mixed-integer linear programming by solving normalized dual problems. This framework can be incorporated into existing solution methods, such as sto...