1 citations · 1 across the 8 of their papers we have counts for
8 papers
A Tight Surrogate-Based Adaptive Step Size for the Multiobjective Conditional Gradient Method
Wang Chen, Yong Zhao, Liping Tang +1
The multiobjective conditional gradient (MCondG) method is an effective descent-type algorithm for solving constrained multiobjective optimization problems. In this algorithm, the…
Generalized conditional gradient methods for multiobjective composite optimization problems with H{ö}lder condition
Wang Chen, Liping Tang, Xinmin Yang
In this paper, we deal with multiobjective composite optimization problems, where each objective function is a combination of smooth and possibly non-smooth functions. We first pro…
On the convergence of conditional gradient method for unbounded multiobjective optimization problems
Wang Chen, Yong Zhao, Liping Tang +1
This paper focuses on developing a conditional gradient algorithm for multiobjective optimization problems with an unbounded feasible region. We employ the concept of recession con…
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:…
Memory gradient method for multiobjective optimization
Wang Chen, Xinmin Yang, Yong Zhao
In this paper, we propose a new descent method, termed as multiobjective memory gradient method, for finding Pareto critical points of a multiobjective optimization problem. The ma…
A novel multiobjective evolutionary algorithm based on decomposition and multi-reference points strategy
Wang Chen, Jian Chen, Weitian Wu +2
Many real-world optimization problems such as engineering design can be eventually modeled as the corresponding multiobjective optimization problems (MOPs) which must be solved to…
Conditional gradient method for vector optimization
Wang Chen, Xinmin Yang, Yong Zhao
In this paper, we propose a conditional gradient method for solving constrained vector optimization problems with respect to a partial order induced by a closed, convex and pointed…