Lagrangian Duality in Set Optimization Problems based on Improvement Sets
摘要
The aim is to give the idea of weak minimal solution for set optimization problems based on improvement sets. For set optimization problems involving nearly E-convexlike maps where E is an improvement set, we give Lagrangian multiplier rule, Lagrangian duality results and saddle point conditions. We also present an application of the derived results in the case of an interval-valued problem.