求翻译：粒子群优化算法（PSO）是一种有效的基于群体智能理论的全局寻优算法。针对如何确定粒子群算法中局部搜索能力和全局搜索能力的比例，本文采用三种惯性权重调节方式对三种典型的水质模型相关参数进行优化计算，并将优化结果与其它方法或者真实值相比较，结果表明：采用粒子群算法对水质模型中待优化参数较少的模型能取得很好的优化结果；基于平均速度信息的惯性权重改变方式对所选取模型的优化结果较其他方法的优化结果更好。是什么意思？

Particle Swarm Optimization (PSO) is an effective global optimization algorithm based on swarm intelligence theory. For how to determine the proportion of the local search ability of particle swarm algorithms and global search capability, this article uses three kinds of inertia weight adjustment to

particle cluster optimization algorithm (PSO) is an effective, community-based theory of the Global Search optimization algorithm. How to determine the particle in a local search algorithm and global search capability, this kind of inertia in 3 to 3 of the regulation of water quality model typical o

Particle Swarm Optimization (PSO) is an efficient global optimization algorithm based on swarm intelligence. For how