Research projects

Project CEMAPRE internal

TitlePareto front estimation for DRO models
ParticipantsFilipe Rodrigues (Principal Investigator)
SummaryDistributionally robust optimization (DRO) models usually depend on specific risk parameters that
control the level of uncertainty. Different values of such parameters lead to different solutions
exhibiting different performance. This means there are no specific values of such parameters always
leading to the best solutions. Hence, in this project, we intend to investigate how to determine a
specific set of good values of the risk parameter (representative of all possible values) that can
provide a set of solutions that are optimal for all possible values of the risk parameters.