摘要
采用了遗传算法对机械优化设计中的多目标、多自变量、多约束的优化问题进行了探讨，以解决传统的优化方法容易陷入局部最优的缺陷。运用惩罚函数、实值编码策略和联赛选择机制对标准遗传算法进行了改进。使得改进后的遗传算法在机械优化设计中有了一定的实用价值。
The purpose of this paper is to study the optimal problem of multi - object, high dimension and. multi - bounding function in mechanical optimization by using GA in order to solve the problem of local optimal results caused by traditional method. And improved the standard GA by using publish function, real -coding, tournament selection model, results shows that GA can be used well in mechanical optimization.
出处
《机械设计与制造》
2001年第6期60-61,共2页
Machinery Design & Manufacture
