Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
Convex composite multi-objective nonsmooth programming
Mathematical Programming: Series A and B
Convex composite minimization with C1,1 functions
Journal of Optimization Theory and Applications
A Gauss-Newton method for convex composite optimization
Mathematical Programming: Series A and B
First and second-order optimality conditions for convex composite multiobjective optimization
Journal of Optimization Theory and Applications
Characterizations of the nonemptiness and compactness of solution sets in convex vector optimization
Journal of Optimization Theory and Applications
Second-order global optimality conditions for convex composite optimization
Mathematical Programming: Series A and B
Proximal Methods in Vector Optimization
SIAM Journal on Optimization
Generalized viscosity approximation methods in multiobjective optimization problems
Computational Optimization and Applications
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In this paper, we present a unified approach for studying convex composite multiobjective optimization problems via asymptotic analysis. We characterize the nonemptiness and compactness of the weak Pareto optimal solution sets for a convex composite multiobjective optimization problem. Then, we employ the obtained results to propose a class of proximal-type methods for solving the convex composite multiobjective optimization problem, and carry out their convergence analysis under some mild conditions.