GA及惩罚函数思想在渡槽优化中的应用

Applications of GA and the Idea of Penalty Function in Optimization of Flume

针对工程优化中的多变量、复杂非线性约束条件问题,借用惩罚函数的思想,利用M ATLAB 7.0平台上的遗传算法(GA)工具箱,将传统优化方法中的惩罚函数思想与遗传算法相结合,提出了一种应用于M ATLAB 7.0中GA工具箱中的惩罚函数法,并对某渡槽结构进行优化分析,得出了一些有意义的结论。

Aimed at optimum design of engineering with multivariable and nonlinear constraints, and using the idea of penalty function and the GA toolbox based on MATLAB7. 0, we put forward a new method of penalty function applying to GA based on MATLAB7. 0 in combination with the traditional idea of penalty function and Genetic Algorithm. Optimum design of a certain flume is completed with the method, and we can draw some useful conclusions.