A decomposition strategy for decision problems with endogenous uncertainty using mixed-integer programming

Decision problems under endogenous uncertainty are still challenging to solve, despite the advances in solution methods and increasing computational power. A novel framework called Decision Programming solves such decision problems using off-the-shelf solvers by using influence diagrams to represent decision problems with decision-dependent probabilities, and then converting the influence diagram representation of the problem to … Read more