分析了强化学习与遗传算法工作机制,在提出基因空间分割概念的基础上,提出了一种将强化学习与遗传算法内在结合起来的算法RLGA,在遗传算法的框架下实现强化学习机制.从理论上分析了RLGA的收敛性,讨论了RLGA的时间和空间效率及其与基因空间分割的关系,通过实验分析了RLGA中基因空间分割的指导范围.实验结果表明,RLGA具有良好的全局收敛性能. The working mechanism of reinforcement learning and genetic algorithm is analyzed. Based on the concept of gene space segmentation, an algorithm called RLGA, which combines the inherent of reinforcement learning and genetic algorithm, is proposed to realize the reinforcement learning mechanism under the framework of genetic algorithm. The convergence of RLGA is analyzed, the temporal and spatial efficiency of RLGA and its relation with gene segmentation are discussed, and the guiding range of gene space segmentation in RLGA is analyzed experimentally.The experimental results show that RLGA has good global convergence performance.