Optimization of the schedule is an effective way to reduce energy consumption in hot strip manufacturing. The heating energy and the rolling energy contribute the vast majority of the energy consumption. In order to reduce the energy consumption for the whole process, an optimization method based on the multi-objective function was applied, and the heating energy and rolling energy were both taken into consideration during the function modeling. Meanwhile, process constraints and equipment limitations were taken as objective function boundary conditions, and the tapping temperature in the furnace exit and thickness of each pass were decision variables. Further, to obtain the optimal solution of the objective function, the differential evolution algorithm was used, finally, the optimal tapping temperature and the thickness were obtained successfully. Meanwhile, the validity of the calculated results was verified by comparing with the actual process in a hot rolling production line in Hebei province, the results indicated that with the proposed method, a more reasonable schedule were obtained; compared with the existing actual schedule of typical specification, the energy consumption can be reduced by about 1.5%.

中文翻译：

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热轧生产全过程计划的优化

计划的优化是减少热轧带钢生产能耗的有效方法。加热能量和滚动能量占能耗的绝大部分。为了减少整个过程的能耗，采用了基于多目标函数的优化方法，在函数建模中同时考虑了加热能和轧制能。同时，以工艺约束和设备限制为目标函数边界条件，炉出口出钢温度和各道次厚度为决策变量。此外，为了获得目标函数的最优解，最后使用了差分进化算法，成功获得了最佳的出钢温度和厚度。同时，通过与河北省某热轧生产线的实际生产过程进行比较，验证了计算结果的有效性，结果表明，所提出的方法能够取得较为合理的进度。与现有的典型规格实际时间表相比，能耗可降低约1.5％。