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Description: 基于多线程机制的，利用Matlab编写，粒子群优化算法。目标变量采用归一化处理，适用于所有的优化函数。优化函数自定义为fitness(x)。
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Size: 1302 |
Author: lys |
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Description: 个程序就是最基本的粒子群优化算法程序，用Matlab实现，非常简单。是主函数的源程序，优化函数则以m文件的形式放在fitness.m里面，对不同的优化函数只要修改fitness.m就可以了通用性很强。
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Size: 1083 |
Author: 牛牛 |
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Description: pso 程序，一共三个，DeJong.m，get_psoOptions.m，pso.m结合起来就可以了，直接拷到work目录下就可以运行，其中get_psooptions中可以改设置，变成自己的；
DeJong是适应函数，也可以改。-PSO procedures, a total of three, DeJong.m, get_psoOptions.m, pso.m combine, and they can work directly Manchester directory on the run, which get_psooptions can change settings, into its own; DeJong is the fitness function, but also to change.
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Size: 1024 |
Author: jun |
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Description: A hybrid Particle Swarm Optimization algorithm for finding the minimum of
the function fitness in the real space.-Particle Swarm Optimization algo abbreviation for finding the minimum of the function fi tness in the real space.
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Size: 2048 |
Author: chen |
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Description: 模拟一群鸟捕食的情景，从而达到优化目标函数的目的，这就是粒子群算法！起初在可行的空间中随机的产生一群粒子，然后让每个粒子开始在虚拟的空间中向四面八方飞翔，并且每个粒子都记下他们飞过的适应值（也就是目标优化函数）最高的点，而且整个粒子群有一个最高适应值个体，这样，粒子在飞翔的时候尽量朝向自己曾飞过的最好的点和集体的最好的点。最后达到收敛到近似最优点的目的。
-Simulation of a group of birds preying on the scene, so as to achieve the purpose of optimizing the objective function, that is, PSO! At first, where feasible, have a space in a group of random particles, and then let the beginning of each particle in a virtual space to fly in all directions, and each particle they have in mind over the fitness value (that is objective optimization function) the highest point , and the whole particle swarm adaptation has a maximum value of the individual, so that particles in the fly when he had flown as far as possible towards the best point and collective best point. Finally reaching the merits of convergence to approximate most purposes.
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Size: 4096 |
Author: chen |
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Description: 基于多线程机制的，利用Matlab编写，粒子群优化算法。目标变量采用归一化处理，适用于所有的优化函数。优化函数自定义为fitness(x)。-Based on multi-threading mechanism, the use of Matlab to prepare, particle swarm optimization algorithm. Target variables using normalized treatment applies to all of the optimization function. Since the optimization function is defined as fitness (x).
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Size: 1024 |
Author: lys |
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Description: 个程序就是最基本的粒子群优化算法程序，用Matlab实现，非常简单。是主函数的源程序，优化函数则以m文件的形式放在fitness.m里面，对不同的优化函数只要修改fitness.m就可以了通用性很强。-Procedures is the most basic particle swarm optimization procedures, using Matlab realize, is very simple. Is the main function of the source, optimizing the function with m the form of documents on fitness.m inside, optimized for different functions as long as the modifications can fitness.m highly generic.
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Size: 1024 |
Author: 牛牛 |
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Description: 基本粒子群优化算法Matlab源程序,其中的fitness函数可根据自己需要更改。-Elementary particle swarm optimization algorithm Matlab source code, in which the fitness function may need to change according to their own.
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Size: 4096 |
Author: 徐楠 |
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Description: 很实用的群优化智能算法，计算粒子群算法的源代码，所需优化的目标函数命名为fitness即可。-a partical swarm algorithm
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Size: 1024 |
Author: iop |
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Description: code for fitness distance ratio PSO
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Size: 4096 |
Author: Samrat |
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Description: 主函数的源程序，优化函数则以m文件的形式放在fitness.m里面，对不同的优化函数只要修改fitness.m就可以了通用性很强。-pso code
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Size: 1024 |
Author: 余超 |
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Description: 用python语言编写的粒子群优化算法，内有多种适应度函数可供选择-Python language used particle swarm optimization algorithm, there are a variety of alternative fitness function
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Size: 3072 |
Author: 海廷 |
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Description: Particle swarm optimization (PSO) is a population based stochastic optimization technique developed by Dr. Eberhart and Dr. Kennedy in 1995, inspired by social behavior of bird flocking or fish schooling. Each particle keeps track of its coordinates in the problem space which are associated with the best solution (fitness) it has achieved so far. (The fitness value is also stored.)
This value is called pbest. Another "best" value that is tracked by the particle swarm optimizer is the best value, obtained so far by any particle in the neighbors of the particle. This location is called lbest. when a particle takes all the population as its topological neighbors, the best value is a global best and is called gbest. Following is the steps of PSO:
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Author: BBB |
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Description: 用粒子群算法优化RBF网络权值，根据适应度值对个体最优和群体最优进行更新-Particle Swarm Optimization with RBF network weights, according to the best fitness value of individuals and groups to update the best
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Size: 1024 |
Author: 天涯 |
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Description: 一个PSO的源代码,步骤为先计算原始种群的适应度,及初始化，再迭代，计算适应度。-The source code of a PSO, the steps for the first calculation of the fitness of the original population, and initialization, and then iterate to calculate the fitness.
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Size: 2048 |
Author: 图图 |
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Description: pso ，粒子群算法的matlab实现，包含fitness.m和pso.m(Particle swarm optimization)
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Size: 1024 |
Author: Qoung
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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: Particle swarm optimization (PSO) is a derivative-free global optimum solver. It is inspired by the surprisingly organized behaviour of large groups of simple animals, such as flocks of birds, schools of fish, or swarms of locusts. The individual creatures, or "particles", in this algorithm are primitive, knowing only four simple things: 1 & 2) their own current location in the search space and fitness value, 3) their previous personal best location, and 4) the overall best location found by all the particles in the "swarm". There are no gradients or Hessians to calculate
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Size: 35840 |
Author: mahmood
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Description: 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。(The PSO algorithm is a kind of evolutionary algorithm. Similar to the simulated annealing algorithm, it also starts from the random solution and iteratively finds the optimal solution. It also evaluates the quality of the solution through fitness, but it is simpler than the genetic algorithm rules. It does not have the "Crossover" and "Mutation" operations of the genetic algorithm. It seeks the global optimum by following the current searched optimal value. This kind of algorithm has attracted much attention from the academic community because of its advantages of easy implementation, high precision and fast convergence. It also shows its superiority in solving practical problems. Particle swarm algorithm is a parallel algorithm.)
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Size: 1024 |
Author: cinderella345 |
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Description: 粒子群算法，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。(The particle swarm optimization (PSO) algorithm, which is one of the evolutionary algorithms, is similar to the simulated annealing algorithm. It also starts from the random solution to find the optimal solution by iteration. It also evaluates the quality of the solution by the fitness, but it is more simple than the genetic algorithm rule, and it has no genetic algorithm "Crossover" and "variation". "(Mutation) operation, it seeks the global optimum by following the best value that is currently searched. This algorithm has attracted the attention of the academic community for its advantages of easy realization, high accuracy and fast convergence, and has shown its superiority in solving practical problems. Particle swarm optimization (PSO) is a parallel algorithm.)
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Size: 4096 |
Author: 绝情逆空 |
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