简述了多峰优化的主要问题及遗传算法的基本概念及算法.在传统的优化方法基础上,引入遗传算法的思想,提出以优化搜索方向向量为研究对象,在连续空间进行优化的遗传搜索优化算法;给出了算法中关键参数的选取方法;最后,给出了该算法的计算实例,结果表明,用该算法能较稳定地找出全局最优点. The main problems of multi-peak optimization and the basic concepts and algorithms of genetic algorithm are briefly described.On the basis of the traditional optimization methods, the idea of ​​genetic algorithm is introduced and the optimal search direction vector is proposed as the research object and the optimized genetic search in continuous space The optimization algorithm is given. The method of choosing the key parameters is given. Finally, an example of the algorithm is given. The results show that the algorithm can find the global optimal point more stably.