4 papers
An accelerated gradient method with adaptive restart for convex multiobjective optimization problems
Hao Luo, Liping Tang, Xinmin Yang
In this work, based on the continuous time approach, we propose an accelerated gradient method with adaptive residual restart for convex multiobjective optimization problems. For t…
The Hybridization of Branch and Bound with Metaheuristics for Nonconvex Multiobjective Optimization
Wei-tian Wu, Xin-min Yang
A hybrid framework combining the branch and bound method with multiobjective evolutionary algorithms is proposed for nonconvex multiobjective optimization. The hybridization exploi…
A Barzilai-Borwein Descent Method for Multiobjective Optimization Problems
Jian Chen, Liping Tang, Xinmin Yang
The steepest descent method proposed by Fliege et al. motivates the research on descent methods for multiobjective optimization, which has received increasing attention in recent y…
General inertial smoothing proximal gradient algorithm for the relaxation of matrix rank minimization problem
Jie Zhang, Xinmin Yang
We consider the exact continuous relaxation model of matrix rank minimization problem proposed by Yu and Zhang (Comput.Optim.Appl. 1-20, 2022). Motivated by the inertial techinique…