Data-driven robust optimization for crude oil blending under uncertainty. - Xin Dai; Xiaoqiang Wang; Renchu He; Wenli Du; Weimin Zhong; Liang Zhao; Feng Qian 004 (Comput. Chem. Eng., 2020)

Large-scale crude oil scheduling: A framework of hybrid optimization based on plan decomposition. - Wanting Zhang; Wei Du 003; Guo Yu 001; Renchu He; Wenli Du (CEC, 2022)

Corrigendum to 'Data-driven crude oil scheduling optimization with a distributionally robust joint chance constraint under multiple uncertainties' [Computers and Chemical Engineering 171 (2023) 108156]. - Xin Dai; Liang Zhao; Renchu He; Wenli Du; Weimin Zhong; Zhi Li 067; Feng Qian 004 (Comput. Chem. Eng., 2023)

Reinforcement Learning Based Gasoline Blending Optimization: Achieving More Efficient Nonlinear Online Blending of Fuels. - Muyi Huang; Renchu He; Xin Dai; Xin Peng 003; Wenli Du; Feng Qian 004 (CoRR, 2023)

Efficient rolling horizon approach to a crude oil scheduling problem for marine-access refineries. - Yunning Yang; Renchu He; Guo Yu 001; Wei Du 003; Minglei Yang 004; Wenli Du (Comput. Chem. Eng., 2023)

Data-driven crude oil scheduling optimization with a distributionally robust joint chance constraint under multiple uncertainties. - Xin Dai; Liang Zhao; Renchu He; Wenli Du; Weimin Zhong; Zhi Li 067; Feng Qian 004 (Comput. Chem. Eng., 2023)

Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling. - Wenxuan Fang; Wei Du 003; Renchu He; Yang Tang; Yaochu Jin; Gary G. Yen (CoRR, 2024)

Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling. - Wanting Zhang; Wei Du 003; Guo Yu 001; Renchu He; Wenli Du; Yaochu Jin (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

A dual-dynamic population multi-objective evolutionary algorithm for large-scale crude oil scheduling optimization. - Xianyu Hou; Renchu He; Wei Du 003 (Appl. Soft Comput., 2025)

Knowledge-assisted hybrid optimization strategy of large-scale crude oil scheduling integrated production planning. - Renchu He; Yunhao Xie; Shiwei Zhang; Feng Xu; Jian Long (Comput. Chem. Eng., 2025)

A hybrid Kalman filter and physics-informed neural network approach for leakage detection and localization in heat exchanger networks. - Ming Shi; Lin Sun; Zhongcheng Bi; Renchu He (Comput. Chem. Eng., 2025)

Multi-objective optimization of gasoline blending scheduling via NSGA-II algorithm with composite operators considering oil movement path planning. - Renchu He; Rui Bian; Junjie Hua; Liang Zhao; Feng Xu; Jian Long (Expert Syst. Appl., 2025)

Deep Reinforcement Learning-Based Energy-Conscious Scheduling Under Time-of-Use Electricity Price. - Caixia Wang; Wenxuan Fang; Xin Dai; Renchu He; Wei Du 003; Yang Tang (IEEE Trans Autom. Sci. Eng., 2025)

Large-Scale Continuous-Time Crude Oil Scheduling: A Variable-Length Evolutionary Optimization Approach. - Wanting Zhang; Wenli Du; Wei Du 003; Renchu He; Yaochu Jin (IEEE Trans Autom. Sci. Eng., 2025)

Preference Prediction-Based Evolutionary Multiobjective Optimization for Gasoline Blending Scheduling. - Wenxuan Fang; Wei Du 003; Guo Yu 001; Renchu He; Yang Tang; Yaochu Jin (IEEE Trans. Artif. Intell., 2025)