An adaptive sampling-estimation of distribution algorithm for robust scheduling in the steelmaking-continuous casting process. - Sheng-Long Jiang; Qie Liu (CASE, 2017)

Energy-Oriented Scheduling for Hybrid Flow Shop With Limited Buffers Through Efficient Multi-Objective Optimization. - Sheng-Long Jiang; Long Zhang (IEEE Access, 2019)

A CMA-ES algorithm for solving the steelmaking scheduling problem involving time buffers. - Sheng-Long Jiang; Wei Tang; Wanzhe Hu (CEC, 2020)

Robust Estimation of Wiener Models in the Presence of Outliers Using the VB Approach. - Qie Liu; Wenyi Lin; Sheng-Long Jiang; Yi Chai; Li Sun 002 (IEEE Trans. Ind. Electron., 2021)

A bi-level optimization method for integrated production scheduling between continuous casting and hot rolling processes. - Wei Tang; Lingling Cao; Yaomin Wen; Sheng-Long Jiang (CASE, 2022)

Correction to "Energy-Oriented Scheduling for Hybrid Flow Shop With Limited Buffers Through Efficient Multi-Objective Optimization". - Sheng-Long Jiang; Long Zhang (IEEE Access, 2022)

An improved Pareto local search for solving bi-objective scheduling problems in hot rolling mills. - Sheng-Long Jiang; Weigang Li; Xuejun Zhang; Chuanpei Xu (Comput. Ind. Eng., 2022)

A decomposition-based two-stage online scheduling approach and its integrated system in the hybrid flow shop of steel industry. - Sheng-Long Jiang; Chuanpei Xu; Long Zhang; Yong Ma (Expert Syst. Appl., 2023)

A Self-Learning Based Dynamic Multi-Objective Evolutionary Algorithm for Resilient Scheduling Problems in Steelmaking Plants. - Sheng-Long Jiang; Qie Liu; Ian David Lockhart Bogle; Zhong Zheng (IEEE Trans Autom. Sci. Eng., 2023)

A soft encoding-based evolutionary algorithm for the steelmaking scheduling problem and its extension under energy thresholds. - Sheng-Long Jiang (Comput. Oper. Res., 2025)

Hybrid flow shop scheduling with continuous processing and resource threshold constraints: A case of steel plant. - Zhangsheng Su; Chao Deng; Raymond Chiong; Sheng-Long Jiang; Kai Zhang (Expert Syst. Appl., 2025)

A learning-enhanced ant colony optimization algorithm for integrated planning and scheduling in hot rolling production lines under uncertainty. - Sheng-Long Jiang; Lamei He; Lingling Cao; Liangliang Sun; Gongzhuang Peng (Swarm Evol. Comput., 2025)

An Online Learning-Based mACO Approach for Hot Rolling Scheduling Problems Involving Dynamic Order Arrivals. - Sheng-Long Jiang; Qie Liu; Ling-Ling Cao; Liangliang Sun (IEEE Trans Autom. Sci. Eng., 2025)

Stochastic Sparse Bayesian Identification for Nonlinear Systems From Large Dataset. - Qie Liu; Lingjia Zhu; Ruxin Hou; Sheng-Long Jiang; Yi Chai; Min Liu 013 (IEEE Trans. Instrum. Meas., 2025)