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20242026
most citedConstrained Multi-objective Optimization with Deep Reinforcement Learning Assisted Operator Selection

5 citations · 5 across the 4 of their papers we have counts for

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cs.AI2026

NeurGO: Learning to Generate Elite Candidates for Meta-Black-Box Expensive Optimization

Jintao He, Huixiang Zhen, Wenyin Gong

Expensive black-box optimization is ubiquitous in science and engineering, where function evaluations are costly and the evaluation budget is limited. Traditional evolutionary algo…

cs.AI2024★ 5 cited

Constrained Multi-objective Optimization with Deep Reinforcement Learning Assisted Operator Selection

Fei Ming, Wenyin Gong, Ling Wang +1

Solving constrained multi-objective optimization problems with evolutionary algorithms has attracted considerable attention. Various constrained multi-objective optimization evolut…