摘要
作者采用模糊可靠性优化理论和物元分析法,以行星齿轮传动为研究对象,建立多目标模糊可靠性优化数学模型。通过改进遗传算子和模拟退火算法得到具有实值编码技术的改进型自适应遗传算法。在V isual C++环境下实现了行星齿轮传动参数优化。
The paper sets up a Multi-objective reliability optimization of planar gears reducer transmission based on fuzzy matter - element and genetic algorithm method. By using improved operators and simulating annealing method, an improved genetic algorithm that adopts real code method has been obtained, The optimization of the planar gears transmission with multiple objectives is just achieved in the environment of Visual C ＋＋ by the improved genetic algorithm.
出处
《现代机械》
2008年第2期3-5,25,共4页
Modern Machinery
关键词
可靠性
模糊物元
遗传算法
多目标优化
reliability
fuzzy matter-element
genetic algorithm
multi-objective optimization
