针对粒子群算法本身存在早熟的不足，提出了一种改进的粒子群优化算法(IPSO)。

Aimed at PSO's defect of prematurity, an improved particle swarm optimization (IPSO) is presented.

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介绍基本粒子群优化算法的原理、特点，并在此基础上提出了一种改进的粒子群算法。

This paper introduces the principles and characteristics of Particle Swarm Optimization algorithm, and puts forward an improved particle swarm optimization algorithm.

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提出了一种新的改进的粒子群优化算法，并以水轮机转速偏差的加权ITAE指标作为改进粒子群优化算法的适应度函数。

An improved particle swarm optimization (PSO) algorithm was designed. And a weighted ITAE index of turbine speed error was taken as the fitness function of the improved PSO algorithm.

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