Sheng-Long Jiang
According to our database1,
Sheng-Long Jiang authored at least 16 papers
between 2017 and 2026.
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Bibliography
2026
A data-driven multi-objective differential evolution framework for charging-thermal coupled parameter optimization in rotary hearth furnace operations.
Swarm Evol. Comput., 2026
A learning-guided multi-objective approach for energy-oriented hybrid flow shop scheduling with limited buffers.
Inf. Sci., 2026
2025
IEEE Trans. Instrum. Meas., 2025
An Online Learning-Based mACO Approach for Hot Rolling Scheduling Problems Involving Dynamic Order Arrivals.
IEEE Trans Autom. Sci. Eng., 2025
A learning-enhanced ant colony optimization algorithm for integrated planning and scheduling in hot rolling production lines under uncertainty.
Swarm Evol. Comput., 2025
Hybrid flow shop scheduling with continuous processing and resource threshold constraints: A case of steel plant.
Expert Syst. Appl., 2025
A soft encoding-based evolutionary algorithm for the steelmaking scheduling problem and its extension under energy thresholds.
Comput. Oper. Res., 2025
2023
A Self-Learning Based Dynamic Multi-Objective Evolutionary Algorithm for Resilient Scheduling Problems in Steelmaking Plants.
IEEE Trans Autom. Sci. Eng., April, 2023
A decomposition-based two-stage online scheduling approach and its integrated system in the hybrid flow shop of steel industry.
Expert Syst. Appl., 2023
2022
An improved Pareto local search for solving bi-objective scheduling problems in hot rolling mills.
Comput. Ind. Eng., 2022
Correction to "Energy-Oriented Scheduling for Hybrid Flow Shop With Limited Buffers Through Efficient Multi-Objective Optimization".
IEEE Access, 2022
A bi-level optimization method for integrated production scheduling between continuous casting and hot rolling processes.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022
2021
Robust Estimation of Wiener Models in the Presence of Outliers Using the VB Approach.
IEEE Trans. Ind. Electron., 2021
2020
A CMA-ES algorithm for solving the steelmaking scheduling problem involving time buffers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Energy-Oriented Scheduling for Hybrid Flow Shop With Limited Buffers Through Efficient Multi-Objective Optimization.
IEEE Access, 2019
2017
An adaptive sampling-estimation of distribution algorithm for robust scheduling in the steelmaking-continuous casting process.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017