Robust Vector Optimization by Set Optimization

Abstract: 

Mathematical programming problems with data uncertainty are very important due to the reality of uncertainty in real-world problems. Robust optimization, which has emerged as a powerful deterministic approach for studying mathematical programming problems with data uncertainty, associates an uncertain mathematical program with its robust counterpart. In this talk, we consider vector optimization problems with data uncertainty and we observe some types of robust and optimistic solutions which are concerned with set optimization.