A Tikhonov-regularized inertial dynamical system for convex multiobjective optimization converges fast to weak Pareto optimal points, with strong convergence to a minimum-norm solution in the main regime.
Alvarez, On the Minimizing Property of a Second Order Dissipative System in Hilbert Spaces , SIAM Journal on Control and Optimization, 38 (2000), pp
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Inertial dynamics with vanishing Tikhonov regularization for multiobjective optimization
A Tikhonov-regularized inertial dynamical system for convex multiobjective optimization converges fast to weak Pareto optimal points, with strong convergence to a minimum-norm solution in the main regime.