摘要
为了寻求更优更高效的现代机械优化设计方法,依据遗传算法的基本理论,提出了一种新型的智能优化方法.分析了遗传算法的基本原理、特点及运行步骤,并运用Matlab软件遗传算法工具箱进行求解,结合蜗轮齿圈体积优化机械设计实例对遗传算法和传统优化方法中的序列二次规划法进行对比,得出传统优化后体积是常规设计的75.28%,而采用遗传算法优化后体积仅为常规设计的65.53%.由此可得出遗传算法的优化结果较传统优化算法的优化结果更优,过程更高效的结论.
In order to search for a more better and more efficient modem mechanical optimization design meth- od, a new intelligent optimization method based on the basic theory of genetic algorithm is proposed. The basic principle, characteristics and operation steps of genetic algorithm are analyzed and using the genetic algorithm tool- box of MATLAB software to solve, combined with the worm gear ring volume optimization mechanical design exam- ple of genetic algorithm and compared with the traditional optimization method of sequential quadratic programming method, it is concluded that the traditional optimized volume is 75.28% of the conventional design, and using ge- netic algorithm to optimize volume after only 65.53% of the conventional design. It is concluded that the optimiza- tion result of genetic algorithm is more obvious, the process is more efficient which is compared with traditional op- timization algorithm.
出处
《哈尔滨理工大学学报》
CAS
北大核心
2015年第4期46-50,共5页
Journal of Harbin University of Science and Technology
关键词
机械设计
遗传算法
MATLAB优化工具箱
蜗轮蜗杆
mechanical design
genetic algorithm
the Matlab optimization toolbox
worm gear and worm
作者简介
孙全颖（1960-），男，教授，硕士研究生导师，E—mail：mmjz1314@126．com
王艺霖（1989-），女，硕士研究生；
杜须韦（1990-），女，硕士研究生．
