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Description: 粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation).源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域-Particle Swarm Optimization (PSO) is an evolutionary technology (evolutionary computation). Predatory birds originated from the research PSO with similar genetic algorithm is based on iterative optimization tools. Initialize the system for a group of random solutions, through iterative search for the optimal values. However, there is no genetic algorithm with the cross- (crossover) and the variation (mutation). But particles in the solution space following the optimal particle search. The steps detailed chapter on the future of genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization, neural networks, fuzzy systems control and other genetic algorithm applications
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Description: basic pso标准的pso matlab程序-basic standard procedures Matlab pso
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Author: chn |
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Description: Matlab源程序代码，著名的PSO程式代码，用于拟合超二次曲线，曲面的代码，适用于粒子系统。呵呵，与大家一起分享受-Matlab source code, the famous PSO program code for the quadratic curve-fitting, Surface code applicable to the particle system. Oh, and that they have enjoyed.
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Author: 肖鹏飞 |
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Description: pso应用基本程序，adhoc应用的一些简单的小程序-PSO application of the basic procedures, adhoc application of some simple applets
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Size: 6144 |
Author: LIANGJING |
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Description: 修改自wiley的书中的各种遗传算法（GA）matlab代码，还包括其他一些算法如粒子群优化，蚁群优化等，均已修改好用！-Modified since the book wiley various genetic algorithms (GA) matlab code, also includes a number of other algorithms such as PSO, ant colony optimization and so on, have been modified handy!
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Author: Gil Chang |
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Description: 一个PSO优化SVM参数的MATLAB程序及其举例。不过此程序必须在安装SVM工具箱的前提下才可运行。-A PSO optimized SVM parameters and their example MATLAB program. But this process must be installed under the premise of SVM toolbox in order to run.
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Author: xiaolinzi |
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Description: Unzip and copy the files to a folder (directory).
-Add the path to Matlab. (File>Set Path>Add with Subfolders)
-Read help for get_psoOptions.m and pso.m (enter help get_psoOptions at command line)
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Author: letian |
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Description: 用matlab写的最近邻和K近邻法分类器，简单易懂，适合初学者-Written with matlab and K-NN nearest neighbor classifier, easy to understand for beginners
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Author: chen |
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Description: This an implementation of Particle Swarm Optimization algorithm using
the same syntax as the Genetic Algorithm Toolbox, with some additional
options specific to PSO. Allows code-reusability when trying different
population-based optimization algorithms. Certain GA-specific parameters
such as cross-over and mutation functions will not be applicable to the
PSO algorithm. Demo function included, with a small library of test functions. Requires Optimization Toolbox.-This is an implementation of Particle Swarm Optimization algorithm using
the same syntax as the Genetic Algorithm Toolbox, with some additional
options specific to PSO. Allows code-reusability when trying different
population-based optimization algorithms. Certain GA-specific parameters
such as cross-over and mutation functions will not be applicable to the
PSO algorithm. Demo function included, with a small library of test functions. Requires Optimization Toolbox.
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Author: Chris Leung |
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Description: pso algorithme
NOTE: THIS IS AN ALPHA RELEASE. FOR TESTING ONLY.
1. Installation:
-Unzip and copy the files to a folder (directory).
-Add the path to Matlab. (File>Set Path>Add with Subfolders)
-Read help for get_psoOptions.m and pso.m (enter help get_psoOptions at command line)
-Run PSO for u r system.
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Author: mlaouhi |
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Description: 蚁群算法（ACO）和粒子群算法（PSO）的混合算法解决旅行商问题（TSP）的matlab代码-Ant colony optimization (ACO) and particle swarm optimization (PSO) of the hybrid algorithm to solve traveling salesman problem (TSP) in matlab code
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Author: 薛栋 |
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Description: 很好的学习资料，对大家有很好的帮助，学习Matlab 和粒子群算法。-Good learning materials, all of us have a good help, learning Matlab and particle swarm algorithm.
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Author: 土豆 |
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Description: Feature selection methods for machine learning algorithms such as SVR, including one filter-based method (CFS) and two wrapper-based methods (GA and PSO). The gridsearch is for the grid search for the optimal hyperparemeters of SVR. The SVM_CV is for the k-fold cross-validation of SVR. All the programs are flexible and could be implemented by the users themselves.-Feature selection methods for machine learning algorithms such as SVR, including one filter-based method (CFS) and two wrapper-based methods (GA and PSO). The gridsearch is for the grid search for the optimal hyperparemeters of SVR. The SVM_CV is for the k-fold cross-validation of SVR. All the programs are flexible and could be implemented by the users themselves.
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Author: Gang Fu |
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Description: GA遗传算法与PSO离子群组合算法matlab程序，以下是使用本程序的简单介绍与使用步骤
1）修改设计变量个数
NPar变量定义的是设计变量个数，本例为8，使用时需根据自己实际情况进行修改。
2）修改设计变量的上下限
VarLow 与VarHign定义的是设计变量的上下限，使用时需根据自己实际情况进行修改。记住，变量的维数，要与1）变量个数一致哦。
3）修改FunName
变量FunName定义的是优化目标函数值的计算函数，根据自己实际情况改成自己的函数名。
4）修改最大迭代次数MaxIterations
要根据自己的问题实际，通过试算找出合适的MaxIterations数。
如果，你对GA与PSO比较精通，还可以通过修改KeepPercent、CrossPercent来提高算法的效率，但是对于初学者来说，上述的步骤与操作已经足够，所以其它不再赘述。祝你好运！
-GA genetic algorithm and PSO Ion combination algorithm matlab program, the following is a brief description of the use of this procedure with the use of step a) to modify the design variables are defined by the number of NPar variable number of design variables, in this case eight, when used according to need their actual situation changes. 2) modify the design variables on the lower limit is defined VarLow and VarHign upper and lower limits of design variables need to be modified when used according to their actual situation. Remember, dimensions variable, the number to be with a) variable consistency oh. 3) Modify FunName variable FunName definition is to optimize the objective function value calculation function, according to their actual situation into their own function name. 4) Modify the maximum number of iterations MaxIterations issue according to their actual, through spreadsheets to find the appropriate number MaxIterations. If you are more proficient GA and PSO, but also can
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Author: 天天 |
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Description: PSO解决TSP代码，可以使用，用MATLAB编程(PSO for TSP.Use matlab to solve the it,and it is useful.)
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Author: pgl
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Description: 本文件对PID参数kp,ki,kd进行寻优，以ITAE作为指标函数。
PSO 文件中有详细的参数设置和寻优过程
GA寻优与PSO寻优作为对比出现
figure1展示了随着迭代次数的变化，适应度函数的收敛情况
figure2展示了kp,ki,kd的迭代情况
ht 文件是用来画图的
问题解决思路.pdf 简要介绍了粒子群算法寻优的过程(In this document, the PID parameters KP, Ki, KD are optimized, and ITAE is used as the index function.
PSO file has detailed parameter settings and optimization process
GA optimization and PSO optimization as a contrast appear
Figure1 shows the convergence of fitness function as the number of iterations changes
Figure2 shows the iterations of KP, Ki, and KD
The HT file is used for drawing
The problem solving idea.Pdf briefly introduces the process of particle swarm optimization)
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Author: 大燕
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Description: 压缩文件中包含三个文件，分别是：GA+PSO、GA_only和PSO_only三个程序包。程序是用MATLAB编写的遗传+粒子群算法、遗传算法、粒子群算法，每个程序中包括主程序、种群选择、自适应函数子函数。(The compressed file contains three files, which are GA PSO, ga_only and pso_only three program package. The program is genetic particle swarm algorithm, matlab prepared by the genetic algorithm, particle swarm algorithm, each program includes main program, population selection, adaptive function function.)
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Author: taiyuanwang
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Description: Particle Swarm Optimization (PSO) is a newly-emerging heuristic global search algorithm based on swarm intelligence and it searches the global optimal point in the complex search space through the competition and collaboration of the particles; however, PSO is easy to get trapped in local extremum, to have premature
convergence or stagnation. In order to help PSO strike a balance between individual diversity and swarm convergence, this paper proposes an artificial immune PSO based on clonal selection. It integrates the advantages of artificial immunity and PSO and introduces the idea of immunity in PSO, namely to add immune operator in PSO so as to make PSO a new algorithm with the function of immunity.
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Author: Dallaki |
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Description: PSO-LSSVM算法的matlab实现，利用PSO算法对LSSVM模型的初始参数求解，以期望得到最好的模型。(PSO-LSSVM algorithm is implemented in matlab, and PSO algorithm is used to solve the initial parameters of LSSVM model in order to get the best model.)
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Size: 2048 |
Author: 阳光小蛇皮 |
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Description: 用MATLAB仿真PID控制，其中用simulink建仿真模型，用matlab语言编写PSO算法用于优化PID参数整定。(Matlab is used to simulate PID control, in which Simulink is used to build simulation model, and PSO algorithm is written in MATLAB language to optimize PID parameter setting.)
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Author: 华工飞虎 |
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