为了更加合理地制定冷连轧轧制规程，选取打滑因子、等功率裕度和最小能耗作为目标函数，采用改进的差分进化算法求解Pareto前沿，减少了冗余的寻优代数、缩短了优化时间。以求解出的Pareto前沿为选择池，基于不同的偏好因子选择出不同的负荷分配方法，满足不同工况下的要求。仿真结果表明，该算法可以快速均匀地覆盖Pareto前沿，产生偏重于不同目标的负荷分配规则。优化规程与原规程相比，降低了打滑现象出现的概率，减小了轧制功率。
To reasonably make schedules of the load distribution of tandem cold rolling mill, slip factor, power margin and minimum energy consumption were selected as the optimization functions. The improved differential evolution algo-rithm was used to search the Pareto front, which reduces redundant iterations and decreases computation time. Different load distribution strategies based on different objectives were generated from the Pareto front to satisfy the requirements under different operating conditions. The simulation shows the proposed algorithm covers the front fast and evenly and generates different load distribution strategies based on different objectives. Compared with the original schedule, the pro-posed method reduces the probability of slippage and the rolling power.
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