2 citations · 2 across the 3 of their papers we have counts for
4 papers
Fully Tensorized GPU-accelerated Multi-population Evolutionary Algorithm for Constrained Multiobjective Optimization Problems
Weixiong Huang, Rui Wang, Wenhua Li +5
Real world constrained multiobjective optimization problems (CMOPs) are prevalent and often come with stringent time-sensitive requirements. However, most contemporary constrained…
Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model
Xu Yang, Rui Wang, Kaiwen Li +2
Despite significant efforts to manually design high-performance evolutionary algorithms, their adaptability remains limited due to the dynamic and ever-evolving nature of real-worl…
Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization
Xu Yang, Rui Wang, Kaiwen Li +1
Differential evolution (DE) algorithm is recognized as one of the most effective evolutionary algorithms, demonstrating remarkable efficacy in black-box optimization due to its der…
A Detection Region Method-Based Evolutionary Algorithm for Binary Constrained Multiobjective Optimization
Weixiong Huang, Rui Wang, Tao Zhang +2
Solving constrained multi-objective optimization problems (CMOPs) is a challenging task. While many practical algorithms have been developed to tackle CMOPs, real-world scenarios o…