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遗传算法是应用比较广泛的一种随机优化算法．文中针对遗传算法在应用过程中出现的收敛慢等问题提出一种优良模式自学习遗传算法，并且在理论上对算法的收敛性进行分析．最后，通过多峰函数优化问题的仿真结果证明了算法的实用性和有效性
Genetic algorithm is a widely used random optimization algorithm. Aiming at the problem of slow convergence in the application of genetic algorithm, a good pattern self-learning genetic algorithm is proposed and the convergence of the algorithm is theoretically analyzed. Finally, the simulation results of the multi-peak function optimization problem prove the practicability and effectiveness of the algorithm