Abstract: PV arrays exhibit multi-peak characteristics under localized shading, and the traditional MPPT method makes it difficult to find the maximum power point quickly and accurately. To address this problem, a hybrid algorithm that combines an improved capuchin monkey algorithm with an adaptive perturbation observation method is proposed. The algorithm uses Fuch chaotic mapping to generate the initial population in the initial stage, which enhances the population diversity; introduces Lévy flight strategy factor and the chameleon algorithm to improve the leader position updating process, which enhances the global optimization ability and the convergence speed; adds the differential strategy to the follower position updating process, which enhances the local optimization ability; and when the optimization reaches the vicinity of the optimal point, switches to the adaptive perturbation observation method for searching, which enables the system to quickly and accurately reach the global maximum power point. Simulation results show that the tracking accuracies of the Bottle Sea Sheath swarm algorithm, the Hybrid Capuchin monkey algorithm is able to achieve the global maximal power point in a more rapid and stable way.