激光切割路径的自适应飞行半径果蝇算法优化

Optimization on Laser Cutting Path Based on Adaptive Flight Radius Fruit Fly Optimization Algorithm

为提高激光切割路径优化效果,同时针对果蝇算法(FOA)中果蝇个体的飞行半径的设置主要依靠经验的缺陷,提出了基于自适应飞行半径果蝇算法(AFRFOA)的激光切割路径优化方法。相比于FOA,AFRFOA中的果蝇个体的飞行半径会随着迭代次数的增加而自适应的变化,克服了固定半径的缺陷,能够实现全局搜索和局部搜索的平衡。钣金激光切割路径优化实例表明,AFRFOA获得的切割路径中,空行程更短,切割耗时更少。

In order to improve the optimization of the laser cutting path, and to address the issue with the fruit fly optimization algorithm(FOA) that the setting of individual flying radius of the fruit fly mainly depends on experience, a laser cutting path optimization method based on adaptive flying radius fruit fly optimization algorithm(AFRFOA) is proposed. Compared with FOA, the flight radius of individual fruit flies in AFRFOA will change adaptively with the increase of iteration times, overcoming the issue of fixed radius and achieving a balance between global search and local search. The optimization example of sheet metal laser cutting path shows that the cutting path obtained by AFRFOA has shorter empty stroke and cutting time.