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Optimization of rolling schedules based on improved artificial fish swarm algorithm for aluminum strip hot rolling mills

机译：基于改进人工鱼群算法的铝带热轧机轧制计划优化

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摘要

The quality and yield of the products in the process of hot rolling is affected seriously by slipping phenomenon. In order to solve the phenomenon in aluminum hot rolling, on the basis of considering various factors which lead to slip, the concept of hot rolling slip factor is proposed, and a multi-objective function with equal power margin and preventing the slip phenomenon is established, and the improved artificial fish swarm algorithm is applied to optimize the reduction of first three stands. Adaptive step and improved move strategy are introduced into the proposed algorithm on the basis of basic fish swarm algorithm, which has better accuracy of optimization and faster convergence speed. The optimized schedule is applied to roll aluminum of 1050 in one hot rolling mill, and the performance is satisfied.
机译：热轧过程中产品的质量和产量受到打滑现象的严重影响。为了解决铝热轧中的现象，在考虑导致滑移的各种因素的基础上，提出了热轧滑移率的概念，建立了具有相等功率裕度和防止滑移现象的多目标函数。 ，并使用改进的人工鱼群算法来优化前三个林分的减少。在基本鱼群算法的基础上，将自适应步长和改进的移动策略引入到算法中，具有更好的优化精度和更快的收敛速度。将优化的时间表应用于一台热轧机中的1050铝轧机，性能令人满意。

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