The electric power output of photovoltaic array exhibits multi-peak characteristics under partial shading conditions,and changes with the external environment.To achieve efficient power output,the Multi-Verse Optimization (MVO) algorithm,which has outstanding advantages in solving low dimensional and small-scale optimization problems,is exploited to carry out Maximum Power Point Tracking (MPPT),and multiple strategies are integrated to address its defects.Then Latin hypercube sampling is used to initialize the universe population,and Cauchy mutation is carried out on the universe randomly swapped according to roulette strategy,thus increasing the diversity of the universe population.Meanwhile,the Levy flight Quantum Particle Swarm Optimization (QPSO) algorithm is introduced,and the wormhole existence probability and travel distance rate are adaptively adjusted to enhance the global exploration and local development capabilities of the algorithm.Simulation on Matlab shows that the proposed approach reduces MPPT time by more than 45% and improves MPPT accuracy,indicating its better MPPT performance to improve the photovoltaic power generation efficiency.