Asymptotic analysis in convex composite multiobjective optimization problems

  • Authors:
  • Zhe Chen

  • Affiliations:
  • Research Center for Contemporary Management, School of Economics and Management, Beijing, China 100084 and Business School, Sichuan University, Chengdu, China 610064

  • Venue:
  • Journal of Global Optimization
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.