摘要
本文针对传统蚁群算法在优化目标函数和设计变量较多时,收敛速度慢和容易陷入局部最优等缺点,提出了一种改进的蚁群优化算法。并对两级斜齿圆柱齿轮减速器在考虑其动态性能、体积、可靠度多目标下对齿轮参数进行了优化。其结果与传统设计相比,在保持了减速器较高可靠性的同时,获得了较好的动态性能和较小的体积。本文提出的改进蚁群算法为斜齿轮减速器提供了一种新的优化设计方法。
When optimization problem has many objective function and design variable, the traditional ant colony algorithm exist some shortcomings such as slow computing speed, and easy to fall in local minimum in the large scale problem. So this paper put forward an improved ant colony algorithm. By using the improved ant colony algorithm, this text optimizes two-grade helical gear reducer parameter. Compared with the traditional design, the results show that the improved ant colony algorithm obtains better dynamic performance and less volume. At the same time it ensures the reducer more reliability. The improved ant colony algorithm that this paper put forward is a new optimal designing method for helical gear reducer.
出处
《现代机械》
2009年第3期1-3,共3页
Modern Machinery
关键词
改进蚁群算法
多目标
斜齿轮传动
优化设计
improved ant-colony algorithm
multi-objective
helical gearing
optimization design
