摘要
汽车制造过程需要使用激光对汽车零件切割,为了提高激光切割的效率,对激光切割路径规划进行研究。文章首先建立激光切割路径规划数学模型,然后使用一种改进的量子免疫算法求解该模型,最后将提出的优化算法进行仿真实验并与传统免疫算法、遗传算法和蚁群算法、量子进化算法对比,对比结果表明,改进量子免疫算法在求解该问题时可以有效缩短切割路径的空行程,提高切割效率。
In order to improve the efficiency of laser cutting, the path planning of laser cutting is studied. Firstly, the mathematical model of laser cutting path planning is established, and then an improved quantum immune algorithm is used to solve the model. Finally, the proposed optimization algorithm is simulated and compared with traditional immune algorithm, genetic algorithm, ant-colony algorithm and quantum evolutionary algorithm. The comparison results show that the improved quantum immune algorithm can effectively shorten the empty travel of cutting path and improve cutting efficiency when solving this problem.
出处
《计算机科学与应用》
2022年第8期2006-2011,共6页
Computer Science and Application
