Fuzzy necessary optimality conditions for vector optimization problems
Marius Durea, Christiane Tammer · Optimization · 2008
The primary aim of this article is to derive Lagrange multiplier rules for vector optimization problems using a non-convex separation technique and the concept of abstract subdifferential. Furthermore, we present a method of estimation of the norms of such multipliers in very general cases and for many particular subdifferentials.