A dynamic gradient approach to Pareto optimization with nonsmooth nonconvex objective functions
In a general Hilbert framework, we consider continuous gradient-like dynamical systems for constrained multiobjective optimization involving non-smooth convex objective functions. Our approach is in the line of a previous work where was considered the case of convex dierentiable objective functions. Based on the Yosida regularization of the subdierential operators involved in the system, we obtain … Read more