Emilia Graß develops a solution method which can provide fast and near-optimal solutions to
realistic large-scale two-stage stochastic problems in disaster management. The author proposes
a specialized interior-point method to accelerate the standard L-shaped algorithm. She shows
that the newly developed solution method solves two realistic large-scale case studies for the
hurricane prone Gulf and Atlantic coast faster than the standard L-shaped method and a
commercial solver. The accelerated solution method enables relief organizations to employ
appropriate preparation measures even in the case of short-term disaster warnings. About the
AuthorEmilia Graß holds a PhD from the Hamburg University of Technology Germany. She is
currently working as guest researcher on the project cyber security in healthcare at the Centre
for Health Policy Imperial College London UK. Her scientific focus is on stochastic
programming solution methods disaster management and healthcare.
