For improving the predicting results, two improved PSO algorithm are presented also in this paper: Velocity Mutation PSO and hybrid PSO.
在此基础上，进一步提出了混合粒子群算法和速度变异粒子群算法两种改进算法提高优化性能。
To improve the searching performance of Particle Swarm Optimization (PSO), a modified PSO algorithm with flying time adaptively adjusted was proposed and named FAA-PSO algorithm.
为改善粒子群优化算法的搜索性能，提出一种飞行时间自适应调整的粒子群算法(FAA - P SO)。
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.
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。
Combining PSO and ACS, the proposed algorithm can effectively avoid the local optima of PSO algorithm and the blindness search of ant colony algorithm.
该算法通过在粒子群算法中引入蚂蚁算法，可有效克服粒子群算法后期的局部搜索能力差和蚁群算法前期盲目搜索的缺陷。
Aiming at the problem that normal Particle Swarm Optimization (PSO) algorithm can not approach the best position effectively in dynamic environment, this paper proposes a dynamic PSO algorithm.
针对普通粒子群优化算法难以在动态环境下有效逼近最优位置的问题，提出一种动态粒子群优化算法。
Firstly the thesis introduce several improved PSO algorithm and standard PSO which are from basic PSO.
本论文首先介绍了经过基本粒子群算法改进而来的标准粒子群算法以及改进的其他PSO算法。
Using PSO algorithm in paper's generating is a discrete solution problem, which extends PSO algorithm's application.
PSO算法组卷是一个离散性求解问题，这是对P SO算法应用上的一个扩展。
The main idea of the new method is to combine PSO algorithm with wavelet multiresolution strategy and parameters of PSO are adapted along with the resolution of the images.
本文基于多分辨分析策略，提出了以图像最大互信息为匹配测度的粒子群优化算法。
Aiming at problem that Particle Swarm Optimization (PSO) algorithm falls into local optimum easily, this paper presents a PSO algorithm based on sub-region.
针对粒子群优化(PSO)算法在寻优时容易陷入局部最优的不足，提出一种基于子区域的PSO算法。
This paper proposed a novel Particle Swarm Optimization (PSO) hybrid algorithm to improve the optimum speed and performance of the PSO algorithm.
为了提高粒子群算法的寻优速度和寻优精度，提出一种改进的PSO混合算法。
The chaos search based hybrid particle swarm optimization (PSO) algorithm is proposed in the paper to avoid the premature phenomenon of PSO, which is applied into the reactive power optimization.
应用粒子群优化算法(PSO)求解电力系统无功优化问题，提出基于混沌搜索的混合粒子群优化算法，以克服P SO容易早熟而陷入局部最优解的缺点。
Based on service level agreement(SLA) and the Parallel Multi-swarm Cooperative PSO Algorithm designed by the author, a parallel multi-swarm cooperative PSO framework applied to GHPCP is realized.
基于服务级协定和本文设计的并行多群体协作PSO算法实现了一个应用在基于网格的高性能计算平台上的并行多群体协作PSO框架。
Based on service level agreement(SLA) and the Parallel Multi-swarm Cooperative PSO Algorithm designed by the author, a parallel multi-swarm cooperative PSO framework applied to GHPCP is realized.
基于服务级协定和本文设计的并行多群体协作PSO算法实现了一个应用在基于网格的高性能计算平台上的并行多群体协作PSO框架。
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