【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.更多还原

【Abstract】 In order to search for a more better and more efficient modern mechanical optimization design method,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 toolbox of MATLAB software to solve,combined with the worm gear ring volume optimization mechanical design example 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 genetic algorithm to optimize volume after only 65. 53% of the conventional design. It is concluded that the optimization result of genetic algorithm is more obvious,the process is more efficient which is compared with traditional optimization algorithm.更多还原