说明：Particle swarm optimization has been used to solve many optimization problems since it was proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and several papers on this topic [5][7][13][15], one of which did a study on its performance using four nonlinear functions adopted as a benchmark by many researchers in this area [14]. In PSO, each particle moves in the search space with a velocity according to its own previous best solution and its group’s previous best solution. The dimension of the search space can be any positive integer.

说明：Particle swarm optimization has been used to solve many optimization problems since it was proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and several papers on this topic [5][7][13][15], one of which did a study on its performance using four nonlinear functions adopted as a benchmark by many researchers in this area [14]. In PSO, each particle moves in the search space with a velocity according to its own previous best solution and its group’s previous best solution. The dimension of the search space can be any positive integer.

说明：Particle swarm optimization has been used to solve many optimization problems since it was proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and several papers on this topic [5][7][13][15], one of which did a study on its performance using four nonlinear functions adopted as a benchmark by many researchers in this area [14]. In PSO, each particle moves in the search space with a velocity according to its own previous best solution and its group’s previous best solution. The dimension of the search space can be any positive integer.

说明：Particle swarm optimization has been used to solve many optimization problems since it was proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and several papers on this topic [5][7][13][15], one of which did a study on its performance using four nonlinear functions adopted as a benchmark by many researchers in this area. In PSO, each particle moves in the search space with a velocity according to its own previous best solution and its group’s previous best solution. The dimension of the search space can be any positive integer.

说明：A Binary Particle Swarm Optimization for Optimal Placement and Sizing of Capacitor Banks in Radial Distribution Feeders with Distorted Substation Voltages

说明：A Binary Particle Swarm Optimization for Optimal Placement and Sizing of Capacitor Banks in Radial Distribution Feeders with Distorted Substation Voltages

说明：PSO Algorithm code with Matlab

说明：Hybrid GA & PSO Algorithm Run the file MainHGAPSO

说明：排序问题的NEH算法，用于解决最小总完工时间的无等待流水调度问题，是最有名的启发式算法

说明：pso optimization program

说明：pso算法的ppt形式，老师让我讲pso算法时候做的，有的地方需要修一下，里面有我自己编的程序的仿真图。

说明：PMD在dsp上的优化方案，一篇修改稿。主要是PMD的补偿方案，利用的pso算法优化。

说明：基于PSO的天线阵列方向图综合，优化单元间距和输入相位来综合方向图旁瓣电平和主瓣宽度

说明：粒子群算法优化神经网络,神经网络为传统的多层感知器。

说明：基于模糊Havrda_Charv_t熵与混沌PSO算法的红外人体图像分割

说明：Particle Swarm Optimisation

说明：标准粒子群算法程序，函数优化，参数优化，可用于PIDNN.

说明：基本粒子群算法的一些英文资料，在此基础上衍生出了许多优化粒子群算法

说明：very interessting PSO thesis

说明：Binary PSO algoritm example

说明：general PSO algoritm

说明：粒子群算法解决背包问题。包含matlab 源程序，和一份报告。我的一份作业

说明：PSO algorithm (PSO) standard test function

说明：The economic load dispatch plays an important role in the operation of power system, and several models by using different techniques have been used to solve these problems. Several traditional approaches, like lambda-iteration and gradient method are utilized to find out the optimal solution of non-linear problem. More recently, the soft computing techniques have received more attention and were used in a number of successful and practical applications. The purpose of this work is to find out the advantages of application of the evolutionary computing technique and Particle Swarm Optimization (PSO) in particular to the economic load dispatch problem. Here, an attempt has been made to find out the minimum cost by using PSO using the data of three and six generating units

说明：由于参数优化的pso算法,对于一维参数和多维参数都可以应用。

说明：微粒群（pso）算法的简要介绍（PPT）

说明：本程序是基于粒子群优化算法（PSO）的环形阵列天线方向图的仿真程序

说明：RBF（径向基神经网络）网络是一种重要的神经网络，RBF网络的训练分为两步，第一步是通过聚类算法得到初始的权值，第二步是根据训练数据训练网络的权值

说明：用于实现粒子群算法的matlab工具包，带有一些测试函数