提出了一种基于反向学习机制的改进量子粒子群算法，采用反向学习机制增加种群的多样性，使搜索效率有了较大的提高，有效地避免了算法早熟收敛。-An improved quantum particle swarm optimization (QPSO) based on reverse learning is presented in this paper, which adopts reverse learning to increase the diversity of the popula

针对传统粒子群优化算法中惯性权重调节机制的局限性，提出一种改进的粒子群优化算法，并应用到目标跟踪领域。-To overcome the limitations of traditional particle swarm optimization inertia weightadjustment mechanism, we proposed an improved particle swarm optimization algorithm appliedto the target tracking

This paper proposes an improved maximum power point tracking (MPPT) method for the photovoltaic (PV) system using a modifi ed particle swarm optimization (PSO) algorithm.