Date of Award
August 2020
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
School of Mathematical and Statistical Sciences
Committee Member
Margaret Wiecek
Committee Member
Matthew Saltzman
Committee Member
Yuyuan Ouyang
Abstract
In robust multiobjective optimization, a new robustness gap is defined in [4]. This gap measures the minimal distance between the robust Pareto set and the Pareto sets of all scenarios. Upper and lower bounds of this gap are derived for the convex case. In this thesis, a deeper examination into the definition and application of this gap for uncertain multiobjective linear programs is presented. Numerical examples are developed and results are reported for the first time.
Recommended Citation
Fritzen, Lena, "The Robustness Gap for Uncertain Multiobjective Linear Programs" (2020). All Theses. 3411.
https://tigerprints.clemson.edu/all_theses/3411