5 citations · 5 across the 4 of their papers we have counts for
4 papers
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…
Composite Indicator-Guided Infilling Sampling for Expensive Multi-Objective Optimization
Huixiang Zhen, Xiaotong Li, Wenyin Gong +1
In expensive multi-objective optimization, where the evaluation budget is strictly limited, selecting promising candidate solutions for expensive fitness evaluations is critical fo…
Adaptive Knowledge-based Multi-Objective Evolutionary Algorithm for Hybrid Flow Shop Scheduling Problems with Multiple Parallel Batch Processing Stages
Feige Liu, Xin Li, Chao Lu +1
Parallel batch processing machines have extensive applications in the semiconductor manufacturing process. However, the problem models in previous studies regard parallel batch pro…
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…