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Description: 粒子群优化算法（PSO）是一种进化计算技术（evolutionary computation）,由Eberhart博士和kennedy博士于1995年提出 (Kennedy J，Eberhart R．
Particle swarm optimization．Proceedings of the IEEE International Conference on Neural Networks．1995．1942~1948.)。源于对鸟群捕食的行为研究。粒子群优化算法的基本思想是通过群体中个体之间的协作和信息共享来寻找最优解．
-Particle Swarm Optimization (PSO) is an evolutionary computation techniques (evolutionary co mputation) by Dr. Eberhart and kennedy Dr. raised in 1995 (Kennedy, J., Eberhart R. Particle swarm optimization.Proc eedings of the IEEE International Conference o n Neural Networks.1995.1942 ~ 1948.) . From the flock of the predatory behavior. PSO algorithm is the basic idea of individual groups through the sharing of information and collaboration to find the optimal solution.
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Size: 134585 |
Author: 周荷 |
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Description: 粒子群优化算法（PSO）是一种进化计算技术（evolutionary computation）,由Eberhart博士和kennedy博士于1995年提出 (Kennedy J，Eberhart R．
Particle swarm optimization．Proceedings of the IEEE International Conference on Neural Networks．1995．1942~1948.)。源于对鸟群捕食的行为研究。粒子群优化算法的基本思想是通过群体中个体之间的协作和信息共享来寻找最优解．
-Particle Swarm Optimization (PSO) is an evolutionary computation techniques (evolutionary co mputation) by Dr. Eberhart and kennedy Dr. raised in 1995 (Kennedy, J., Eberhart R. Particle swarm optimization.Proc eedings of the IEEE International Conference o n Neural Networks.1995.1942 ~ 1948.) . From the flock of the predatory behavior. PSO algorithm is the basic idea of individual groups through the sharing of information and collaboration to find the optimal solution.
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Size: 134144 |
Author: 周荷 |
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Description: 这是一个用系统模型辨识用的PSO程序,它主要是用于系统的参数未知时,此时比较方便.-This is a used system model identification procedures used in PSO, it is mainly used for systems with unknown parameters, the more convenient at this time.
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Size: 5120 |
Author: 陈崇满 |
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Description: 用粒子群算法来优化RBF神经网络权值，使神经网络有更好的非线性函数逼近能力-Using particle swarm optimization to optimize the RBF neural network weights, so that neural network has better ability of nonlinear function approximation
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Size: 3072 |
Author: 史峰 |
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Description: psotoolbox
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.
PLEASE CHECK http://psotoolbox.sourceforge.net FOR UPDATES
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Size: 54272 |
Author: rezaii |
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Description: 关于pso算法的一篇文章，老外写的，介绍将如何pso算法应用到文档聚类中-Pso algorithm on an article written by a foreigner on pso algorithm will be applied to document clustering
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Size: 31744 |
Author: 刘勇 |
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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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Size: 3072 |
Author: mlaouhi |
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Description: NOTE: THIS 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.-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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Size: 1024 |
Author: mlaouhi |
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Description: NOTE: THIS 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.-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.
Platform: |
Size: 3072 |
Author: mlaouhi |
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Description: NOTE: THIS 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.-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.
Platform: |
Size: 1024 |
Author: mlaouhi |
Hits:
Description: NOTE: THIS 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.-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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Size: 43008 |
Author: mlaouhi |
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Description: 微粒群演算法(Particle Swarm Optimization algorithm)又稱粒子群優化，是一個年代較為新穎的新式演算法。PSO是由J. Kennedy和R. C. Eberhart於1995年開發的一種演化計算技術,源自於對一個簡化社會模型的模擬。
-(Particle Swarm Optimization algorithm
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Size: 518144 |
Author: skystar82 |
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Description: 粒子群优化(Particle Swarm Optimization, PSO)，又称微粒群算法，是由J. Kennedy和R. C. Eberhart等于1995年开发的一种演化计算技术,来源于对一个简化社会模型的模拟。-Particle Swarm Optimization (Particle Swarm Optimization, PSO), also known as particle swarm optimization, by J. Kennedy and RC Eberhart equal to 1995 developed an evolutionary computing technology, derived from the simulation of a simplified social model.
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Size: 759808 |
Author: Tony Cheung |
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Description: These java source code implement the classic Particle Swarm Optimization (PSO) proposed by J. Kennedy and R.C. Eberhart
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Size: 2401280 |
Author: Jian |
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Description: PSOMATLAB
Department of Computer Science, Sun Yat-sen University,
No.135, Xingang West Road, Guangzhou 510275, P.R. China.This is a problem about pso to matlab.-Department of Computer Science, Sun Yat-sen University,
No.135, Xingang West Road, Guangzhou 510275, P.R. China.This is a problem about pso to matlab.
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Size: 2048 |
Author: 刘明 |
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Description: Rosenbrock函数优化属于无约束函数优化问题，其全局极小值位于一条平滑而狭长的抛物线形状的山谷底部，且为优化算法提供的信息很少，因此找到其全局极小值就显得很困难。根据Rosenbrock函数的这种特性，专门提出了一种改进的PSO算法，该算法引入三角函数因子，利用三角函数具有的周期振荡性，使每个粒子获得较强的振荡性，扩大每个粒子的搜索空间，引导粒子向全局极小值附近靠近，避免算法过早地收敛，陷入局部最优，从而找到Rosenbrock函数的全局极小值。大量实验结果表明，该算法具有很好的优化性能，为某些领域某些特定的类似于Rosenbrock函数的优化问题提供了一种新的思路。-Rosenbrock function optimization functions are unconstrained optimization problems, its global minimum value at a smooth parabolic shape and narrow mountain valley
Department, and for the optimization algorithm provides little information, and therefore find its global minimum value becomes very difficult. According to this feature Rosenbrock function, specifically mentioning
Out an improved PSO algorithm (PSO-R), the algorithm introduced trigonometric factor, using trigonometric has periodic oscillations, so that each particle to obtain more
Strong oscillations of expanding the search space of each particle, the particle is close to nearby guide global minimum, avoiding premature convergence algorithm, into a local optimum, thus
Finding the global minimum Rosenbrock function. Experimental results show that the algorithm has a good optimizing performance, similar to some certain areas
Rosenbrock function in the optimization problem provides a new way of thinking.
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Size: 948224 |
Author: 丁晓花 |
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Description: 3-ADRC Trajectory Tracking Control Based on PSO
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Size: 185344 |
Author: mojtaba |
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Description: 粒子群优化（Particle Swarm Optimization, 简称PSO）[1]，又称为微粒群算法，是由美国的心理学家J. Kennedy和电气工程师R. Eberhart于1995年提出的一种算法。
-（Particle Swarm Optimization,PSO）
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Size: 22528 |
Author: metropoliszxy |
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Description: 粒子群算法，也称粒子群优化算法或鸟群觅食算法（Particle Swarm Optimization），缩写为 PSO， 是近年来由J. Kennedy和R. C. Eberhart等[1] 开发的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(Function optimization)
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Size: 6144 |
Author: xym111
|
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Description: 用于优化参数，粒子群算法，也称粒子群优化算法或鸟群觅食算法（Particle Swarm Optimization），缩写为 PSO， 是近年来由J. Kennedy和R. C. Eberhart等[1] 开发的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(For optimization of parameters,)
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Size: 1024 |
Author: 小苹果6688
|
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