3 citations · 3 across the 4 of their papers we have counts for
4 papers
Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling
Wenxuan Fang, Wei Du, Renchu He +3
Gasoline blending scheduling uses resource allocation and operation sequencing to meet a refinery's production requirements. The presence of nonlinearity, integer constraints, and…
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…
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…
Isoperimetric Inequalities and Sharp Estimate for Positive Solution of Sublinear Elliptic Equations
Qiuyi Dai, Renchu He, Huaxiang Hu
In this paper, we prove some isoperimetric inequalities and give a sharp bound for the positive solution of sublinear elliptic equations.