基于改进遗传算法的造船钢板堆场出库作业优化

Lebao Wu, Zu-hua Jiang
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引用次数: 2

摘要

钢板出库作业是一项耗时的工作,大部分时间浪费在堵板的重新定位上。为了节省造船钢板堆场的作业时间,建立了以总搬迁量最小为目标的数学模型。提出了一种改进的遗传算法来解决这一问题。考虑到未来的出站操作,提出了一种比较堆栈优先级和阻塞板出站日期的启发式重定位策略。提出了基于出站序列规则的惩罚函数来加速算法。实验结果表明,无论栈号和槽号如何变化,该方法都可以减少重定位次数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of Steel Plate Stockyard Outbound Operation in Shipbuilding Using Improved Genetic Algorithm
Steel plate outbound operation is a time-consuming job, most of the time is wasted in relocating blocking plates. In order to save the operation time in steel plate yard in shipbuilding, this paper established the mathematical model to minimizes the total relocation movement. An improved genetic algorithm is proposed to solve this problem. Considering future outbound operation, a heuristic relocation strategy comparing stack priority and blocking plates' outbound date is introduced. Penalty function based on outbound sequence rule is proposed to accelerate the algorithm. The experimental results show that the proposed method can reduce the relocation number whenever stack number and slot number changes.
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