  We present some first results concerning a gradient-based dynamic approach to
multi-objective optimization problems, involving inertial effects. We prove the
existence of global solution trajectories for this second-order differential
equation, and their convergence to weak Pareto points in the convex case. It is
a first step towards the design of fast numerical methods for multi-objective
optimization.
