搜索全局最优解的一种混合遗传算法

A Hybrid Genetic Algorithm for Globally Optimal Solution

针对遗传算法求解多值函数极值的缺点 ,本文提出一种混合遗传算法 ,基本思想为通过某种方法获得初始种群 ,然后在遗传过程中逐步修改适应值函数 ,以提高其搜索速度和精度。经实例仿真 。

A hybrid genetic algorithm is presented to overcome the disadvantages of the classical genetic algorithm. The basic idea of HGA is that initial population is obtained by some methods, then the fitness function is modified step by step. This algorithm can raise the scouting velocity and precision. The simulation sample results show that the effect of this algorithm is perfect.