8 citations · 13 across the 38 of their papers we have counts for
9 papers · 1 filter
Global convergence of block proximal iteratively reweighted algorithm with extrapolation
Jie Zhang, Xinmin Yang
In this paper, we propose a proximal iteratively reweighted algorithm with extrapolation based on block coordinate update aimed at solving a class of optimization problems which is…
The convergence rate of the accelerated proximal gradient algorithm for Multiobjective Optimization is faster than
Jie Zhang, Xinmin Yang
In this paper, we propose a fast proximal gradient algorithm for multiobjective optimization, it is proved that the convergence rate of the accelerated algorithm for multiobjective…
Conjugate gradient methods without line search for multiobjective optimization
Wang Chen, Yong Zhao, Liping Tang +1
This paper addresses unconstrained multiobjective optimization problems where two or more continuously differentiable functions have to be minimized. We delve into the conjugate gr…
Improvements to steepest descent method for multi-objective optimization
Wang Chen, Liping Tang, Xinmin Yang
In this paper, we propose a simple yet efficient strategy for improving the multi-objective steepest descent method proposed by Fliege and Svaiter (Math Methods Oper Res, 2000, 3:…
Learning to optimize by multi-gradient for multi-objective optimization
Linxi Yang, Xinmin Yang, Liping Tang
The development of artificial intelligence (AI) for science has led to the emergence of learning-based research paradigms, necessitating a compelling reevaluation of the design of…
Barzilai-Borwein Descent Methods for Multiobjective Optimization Problems with Variable Trade-off Metrics
Jian Chen, Liping Tang, Xinmin Yang
The imbalances and conditioning of the objective functions influence the performance of first-order methods for multiobjective optimization problems (MOPs). The latter is related t…
On the Convergence of Newton-type Proximal Gradient Method for Multiobjective Optimization Problems
Jian Chen, Xiaoxue Jiang, Liping Tang +1
In a recent study, Ansary (Optim Methods Softw 38(3):570-590,2023) proposed a Newton-type proximal gradient method for nonlinear multiobjective optimization problems (NPGMO). Howev…
Barzilai-Borwein Proximal Gradient Methods for Multiobjective Composite Optimization Problems with Improved Linear Convergence
Jian Chen, Liping Tang, Xinmin Yang
When minimizing a multiobjective optimization problem (MOP) using multiobjective gradient descent methods, the imbalances among objective functions often decelerate the convergence…
Reference-Point-Based Branch and Bound Algorithm for Multiobjective Optimization
Weitian Wu, Xinmin Yang
In this paper, a branch and bound algorithm that incorporates the decision maker's preference information is proposed for multiobjective optimization. In the proposed algorithm, a…