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Improved Ant Colony Algorithm base on Slab Cluster for Roll Planning

机译:改进的蚁群算法基于平板簇的滚动规划

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Focusing on the disadvantages of recent researches for roll planning that seldom consider the warm-up part and solution efficiency is low, in this paper, a parallel planning model and an improved ant colony algorithm were proposed to solve the problem. Firstly, the model considering constraints of both warm-up part and staple one was designed; Secondly, the improved ant colony algorithm was proposed where the slab cluster was used to decrease the searching scope and the local optimization to improve the efficiency of pheromone accumulation. Finally, with production data from hot strip mill, we proof the method can get the best results by comparing with other two ant colony algorithms.
机译:专注于近期对滚动规划研究的缺点,即很少考虑预热部和解决方案效率低,本文提出了一个平行的规划模型和改进的蚁群算法来解决问题。首先,设计了考虑预热部件和装订器的制约的模型;其次,提出了改进的蚁群算法,其中平板集群用于降低搜索范围和局部优化以提高信息素累积的效率。最后,通过来自热轧带钢的生产数据,我们证明该方法可以通过与其他两个蚁群算法进行比较来获得最佳效果。

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