搜索资源列表
crosspso
- 带交叉因子的粒子群MATLAB算法程序，可实现带约束变量的微粒群算法-With cross-factor PSO algorithm MATLAB procedures, can be constrained variable particle swarm optimization
CP
- 粒子群加连续潮流法，能优化变压器分接头，进行多变量优化，使系统非常稳定-PSO plus continuous power flow, transformer taps can be optimized, multi-variable optimization, making the system very stable
Matlab2010PSOAlgo
- Variable Neiborhood PSO Algorithm
PSO-and-improved-PSO
- 这是一个包含基本PSO算法和改进PSO算法的程序，包括带压缩因子的PSO，权重改进的PSO，变学习因子PSO，混沌PSO等-This is one that contains the basic PSO algorithm and PSO algorithm to improve the procedures, including with a compression factor of the PSO, the weight of the improved PSO, variable lear
PSOexample
- 关于多维变量PSO算法优化，是基于matlab的算法分析。可解决电力系统中无功优化等类似问题。例子中是2维的，若要增加变量请自行更改程序-PSO algorithm to optimize multidimensional variable matlab-based algorithm analysis. Solve the power system reactive power optimization and other similar issues. Example is 2-dimens
hydraulicturbine-SMC-sim
- 水轮机变结构仿真程序以及M文件，S函数编写，PSO优化参数-Variable structure of turbine simulation program as well as M-files
psoToolbox
- Help psoToolbox V1.0 psoToolbox provides an interective GUI based Toolbox to solve optimization problems using particle swarm optimization. Creat a fitness function in M-file. Inputs: Function : Function handle of fitness function.
PSO---Multiple
- File with compression factor of the particle swarm algorithm, the weight to improve particle swarm optimization, adaptive weighting method, the random weighting method, particle swarm optimization variable learning factor, learning factor of asynchro
GA-and-PSO
- 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
PSO
- 多种策略变权重系数的粒子群优化算法源代码，用于求解复杂函数极值问题。-Multiple strategies variable weight coefficient of particle swarm optimization algorithm source code, is used to solve complex function extremum problems.
PSO
- PSO算法（函数输入为目标函数句柄，变量维度，变量上下界以及算法参数设置结构体）-PSO algorithm (function handle input as the objective function, variable dimensions, variable bounds and parameter setting structure)
TSP-pso
- 自适应离散粒子群算法求解TSP问题，包含有三个基本实例，其中含扰动变量可防止陷入局部最优-Adaptive particle swarm optimization for TSP, contains three basic example, which prevents the disturbance variable containing local optimum
multirobot_pso
- In this work, an algorithm for classical particle swarm optimization (PSO) has been discussed. Also, its codes in MATLAB environment have been included. The e ectiveness of the algorithm has been analyzed with the help of an example of three variab