2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.NE2026★ 2 cited
Deep Reinforcement Learning-Assisted Automated Operator Portfolio for Constrained Multi-objective Optimization
Shuai Shao, Ye Tian, Shangshang Yang +1
Constrained multi-objective optimization problems (CMOPs) are of great significance in the context of practical applications, ranging from scientific to engineering domains. Most e…
cs.NE2026
An Evolutionary Algorithm with Probabilistic Annealing for Large-scale Sparse Multi-objective Optimization
Shuai Shao, Yuhao Sun, Xing Chen +3
Large-scale sparse multi-objective optimization problems (LSMOPs) are prevalent in real-world applications, where optimal solutions typically contain only a few nonzero variables,…