基于进化方向差分进化算法的冷连轧轧制规程鲁棒多目标优化

IF 3.1 2区 材料科学 Q1 METALLURGY & METALLURGICAL ENGINEERING
Yong Li , Lei Fang
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引用次数: 10

摘要

根据实际需求,选择型钢和轧制能耗作为冷连轧轧制规程优化的目标函数。由于机械磨损,轧辊直径在轧制过程中具有一定的不确定性,忽略这种不确定性将导致轧制计划的鲁棒性差。为解决这一问题,建立了冷连轧轧制规程的鲁棒多目标优化模型。提出了一种基于进化方向的差分进化算法。该算法通过计算向量的水平角度来选择突变向量。选取的矢量包含收敛方向,改变了差分进化算法中的随机变异操作。通过两个基准测试验证了算法的有效性。同时,为了保证轧制厚度在演化过程中与实际轧制计划一样呈降序排列,提出了一种改进的拉丁超立方体抽样过程。最后,将该算法应用于上述模型。结果表明,与实际轧制规程相比,改进后的轧型得到改善,轧制能耗降低。同时保证了解的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust multi-objective optimization of rolling schedule for tandem cold rolling based on evolutionary direction differential evolution algorithm

According to the actual requirements, profile and rolling energy consumption are selected as objective functions of rolling schedule optimization for tandem cold rolling. Because of mechanical wear, roll diameter has some uncertainty during the rolling process, ignoring which will cause poor robustness of rolling schedule. In order to solve this problem, a robust multi-objective optimization model of rolling schedule for tandem cold rolling was established. A differential evolution algorithm based on the evolutionary direction was proposed. The algorithm calculated the horizontal angle of the vector, which was used to choose mutation vector. The chosen vector contained converging direction and it changed the random mutation operation in differential evolution algorithm. Efficiency of the proposed algorithm was verified by two benchmarks. Meanwhile, in order to ensure that delivery thicknesses have descending order like actual rolling schedule during evolution, a modified Latin Hypercube Sampling process was proposed. Finally, the proposed algorithm was applied to the model above. Results showed that profile was improved and rolling energy consumption was reduced compared with the actual rolling schedule. Meanwhile, robustness of solutions was ensured.

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来源期刊
CiteScore
4.30
自引率
0.00%
发文量
2879
审稿时长
3.0 months
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