Proximal Subgradient Algorithm for Constrained Multiobjective DC-type Optimization

This paper addresses a challenging class of multiobjective optimization problems involving non-smooth and non-convex objective functions. The authors propose a proximal subgradient algorithm and prove its convergence to stationary solutions under mild assumptions. This is significant because it provides a practical method for solving a complex class of optimization problems that arise in various applications.