In this note we extend a vector duality approach for set-semidefinite multiobjective optimization problems consisting in the vector minimization with respect to a given convex cone of matrices of a matrix-valued function subject to both geometric and set-semidefinite cone-inequality constraints. Our contribution generalizes and improves earlier results from the literature.



