搜索资源列表
差别算法MATLAB代码及粒子群算法的介绍
- 差别算法matlab代码（differential algorithm）及粒子群算法的介绍-difference algorithm Matlab code (differential algorithm) and the PSO algorithm introduced
PSO
- 通过粒子群算法实现pid参数的自整定。内容涵盖matlab程序和SIMUILINK仿真。已调试。(PID parameter tuning of particle swarm optimization)
粒子群优化算法以及改进的PSO算法代码matlab
- 一些关于粒子群优化算法的matlab程序实现，里面有各种的PSO改进算法(Some matlab programs about particle swarm optimization algorithm are implemented. There are various PSO improved algorithms in them.)
aco-ga-pso-tsp
- Matlab实现ACO-GA-PSO三种混合算法解决TSP经典问题(Three Mixed Algorithms ACO-GA-PSO Realized by MATLAB to Solve the Classic TSP Problem)
PSO-BP(MATLAB)
- 利用PSO蚁群算法改进的BP神经网络，收敛性很好！很实用(The BP neural network improved by PSO ant colony algorithm has good convergence. Very practical)
PSO优化LSSVM工具箱——分类部分
- PSO-LSSVM分类测试程序代码模板,PSO优化LSSVM工具箱——分类部分(PSO-LSSVM Classification Test Program Code Template, PSO Optimizing LSSVM Toolbox-Classification Part)
pso
- matlab的粒子群pso工具箱打开后直接调用函数PSOJ即可(he PSO toolbox of MATLAB opens and calls the function PSOJ directly.)
PSO ANN
- this is using PSO to train ANN
01 Economic Dispatching using PSO
- 基于粒子群算法(PSO)的电力系统经济调度，matlab平台。(solve power system economic dispatch problem by PSO algorithm)
PSO-BP程序
- 用粒子群优化BP神经网络matlab代码 %以下是训练数据，前4列为输入，第5列为输出 5.700 3.800 0.3175 2.33 2310 4.550 3.050 0.3175 2.33 2890 2.950 1.950 0.3175 2.33 4240 1.950 1.300 0.3175 2.33 5840 1.400 0.900 0.3175 2.33 7700 1.200 0.800 0.3175 2.33 8270 1.050 0.700 0.3175
PSODV-HOP
- 对比了dv-hop基本算法，和加入pso后得算法。由于结果是随机产生的，不能保证每次得结构都能提高，但大部分时候，比基本算法得定位准确度好。(DV hop algorithm is compared with PSO algorithm. Because the results are generated randomly, it can not be guaranteed that every time the structure can be improved, but most of th
PSO-SVM
- 利用粒子群优化算法对支持向量机中的核函数参数和惩罚参数进行优化是非常有效的手段，可以大大提高鲁棒性。实际过程中读者可通过下载我上传的代码，简单进行修改和阅读附件论文即可快速掌握相关方面的知识，快速使用这一方法。(Particle swarm optimization (PSO) is a very effective method to optimize the kernel function parameters and penalty parameters of SVM, which can
pso-SVM
- pso优化SVM参数，可运行。MATLAB实现(PSO optimizes SVM parameters, which can be run. MATLAB implementation)
PSO粒子群5种改进算法实例源码
- 用MATLAB编写测试函数的五种PSO改进算法(Five PSO improved algorithms with test functions written in MATLAB)
粒子群算法优化pid源码 matlab仿真
- 粒子群算法（PSO）整定pid控制参数，比传统Z-N整定方法要好，内附matlab程序与simulink模型(Particle swarm optimization (PSO) is better than traditional Z-N tuning method in tuning PID control parameters. It includes matlab program and Simulink model.)
PSO7
- PSO粒子群优化算法优化电力系统总能量，求全局最小值。(PSO particle swarm optimization algorithm optimizes the total energy of the power system to find the global minimum.)
matlab仿真PID参数整定 源代码+仿真图
- 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.)
PSO_final
- 光伏阵列MPPT，用PSO算法实现MPPT算法控制BOOST电路，从而实现光伏阵列的MPPT追踪(Photovoltaic array MPPT, using PSO algorithm to implement MPPT algorithm control BOOST circuit, so as to achieve MPPT tracking of photovoltaic array)
PSO求解多目标优化问题matlab代码
- 单目标粒子群优化算法的主程序，这是一个案例，可以参考(Single objective particle swarm optimization)
GA-BP及PSO-BP
- 主要是通过GA和PSO的全局搜索能力，用于改进BP网络的权值阈值(It is mainly used to improve the weight threshold of BP network)