4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.NE2024
Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling
Wanting Zhang, Wei Du, Guo Yu +3
With the scaling up of crude oil scheduling in modern refineries, large-scale crude oil scheduling problems (LSCOSPs) emerge with thousands of binary variables and non-linear const…
cs.CE2023
Reinforcement Learning Based Gasoline Blending Optimization: Achieving More Efficient Nonlinear Online Blending of Fuels
Muyi Huang, Renchu He, Xin Dai +3
The online optimization of gasoline blending benefits refinery economies. However, the nonlinear blending mechanism, the oil property fluctuations, and the blending model mismatch…
math.OC2022★ 4 cited
Towards Fairness-Aware Multi-Objective Optimization
Guo Yu, Lianbo Ma, Wei Du +2
Recent years have seen the rapid development of fairness-aware machine learning in mitigating unfairness or discrimination in decision-making in a wide range of applications. Howev…