切割寻优的遗传算法应用研究

在将焊管切割为符合API标准的石油管的生产过程中,由于生产线中各设备及环境等因素的影响,使得生产出来的焊管质量存在许多不可预见的缺陷,这就意味着很难根据已知条件来建立优化模型,本文正是针对这一问题,在生产过程中采用遗传算法对焊管切割过程进行动态优化,提高钢管原材料的利用率,并用于国内的焊管生产线系统中。

Genetic Arithmetic Application in Cutting Optimization

Because of the effect of the devices of the production lines and environment during the producing of API pipes, there are many unpredictable faults in the quality of the pipes. It is difficult to make the optimum mathematical model by means of the present condition. In this paper, genetic arithmetic programming is applied to the cutting operations in production lines. It provides capability to reduce cutting loss, thus to save material. This method has been used in domestic production lines.