遗传算法在函数优化中的应用

Application of Genetic Algorithm in Function Optimization

遗传算法是目前广泛应用的一种随机搜索全局优化算法.函数优化是遗传算法的经典应用领域.文章分析了遗传算法的运行机理,利用Matlab优化工具箱,以具有代表的多峰函数为例,实现了用遗传算法求解多维变量的函数优化问题.结果显示其计算效率高,收敛速度快.

The genetic algorithm is one of the global optimal random search algorithms that are most widely used at present. It has been used in many fields. Function optimization is the classic application of genetic algorithm. The paper analyzes the operation mechanism of genetic algorithm. And then using the Matlab optimization toolbox, taking a representative muhi-peak function as the example, implements the function optimization problems using genetic algorithms for multi-dimensional variable. The results show that GA has higher computing efficiency and faster convergence speed.