摘要
将标准遗传算法用于最优化问题时存在早熟收敛和后期收敛速度缓慢的现象。这里扼要分析了遗传算法的运行机制 ,提出了一种基于小生境技术的改进遗传算法 ;根据牙嵌离合器的可靠性设计原理 ,建立了遗传优化的模型 ,并给出了应用改进的遗传算法进行优化设计的实例和计算结果。
Canonical genetic algorithms have the defects of pre-maturity and stagnation when applied in optimizing problems.This paper analyzes briefly the work mechanism of the canonical genetic algorithms,a class of variation based on niche technology is proposed,which can improve the searching stability and increase the diversity of individuals in populations.According to the reliability design theory of dog coupling,the genetic optimizing model is obtained.An optimizing instance and some results calculated by varied genetic algorithm are presented,they are obviously better than that of constrained random direction method.
出处
《机械设计与制造》
2001年第1期6-8,共3页
Machinery Design & Manufacture