搜索资源列表
mpso
- 标准微粒群算法的改进，采用粒子变异，以克服陷入局部最优-The improvement of the standard particle swarm algorithm, particle variation to overcome falling into local optimum
kriging
- 改进的粒子群优化克里金模型，普通的克里金模型MATLAB数据包与遗传算法的结合(Improved particle swarm optimization model of Kriging, Kriging model MATLAB data packet and genetic algorithm combined with the general of the)
pso
- 粒子群优化算法，可以用于各种方面的优化，通过改进后效果更好(Particle swarm optimization algorithm can be used in various aspects of optimization, better through the improved)
ypap115-path-planning
- 粒子群算法路径规划，可以直接运行，可以在此基础上继续改进嗯嗯嗯嗯(Particle swarm algorithm for path planning, can be directly run, can be the basis to continue to improve, huh)
pso1
- 基于粒子群算法的移动机器人路径规划，文件是关于粒子群算法求解路径规划的问题，其中包括栅格障碍物环境的建立，粒子群及其改进算法的仿真程序。(On path planning problem of particle swarm algorithm matlab code)
PSO-SVM
- 将改进的粒子群算法和GA与SVM相结合，通过参数寻优构建新模型完成对空气质量指数的预测(The improved particle swarm optimization and genetic algorithm are combined with SVM. The prediction of air quality index (AQI) is completed by constructing a new model by parameter optimization.)
PSO
- 微电网多目标调度，运用改进的多目标粒子群算法进行计算，里面包含经济等三个目标函数设置((Smart Microgrid PSO, micro sources: photovoltaic, wind turbines, generators, energy storage, etc.))
Abat_algorithm
- 粒子群算法改进的自适应蝙蝠算法,具有很好的收敛速度和收敛精度(Improved adaptive bat algorithm based on particle swarm optimization has good convergence speed and convergence accuracy.)
PSO_adaptation
- 改进型粒子群PSO优化算法MATLAB代码，基于权重改进速度，已封装为函数(Improved particle swarm optimization algorithm PSO MATLAB code, based on the speed of weight improvement, has been encapsulated as a function.)
PSO程序
- 使用三种不同的粒子群算法，分别求解函数的极值，三种算法循序渐进，但每一种都有部分改进，新手上路，可以很好的感受到粒子群算法的变化特性(Three different particle swarm optimization algorithms are used to solve the extremum of the function, three algorithms are progressive, but each one has some improvements, beginners
DEPSO求极值
- 改进的差分粒子群算法，并用于求函数极值，程序中分别于DE PSO 蛙跳进行对比，结果显示，改进的差分粒子群更好(The improved Differential Particle Swarm Optimization (DPSO) algorithm is used to find the function extremum. The program is compared with DE PSO frog jump, and the results show that the improve
PSO_DG_Optimization
- 利用改进的粒子群算法实现了分布式电源的优化配置！有详细的中文注释！(The improved particle swarm optimization algorithm is used to optimize the configuration of distributed power supply. Detailed Chinese notes!)
JavaNotepad-master
- 大部份的优化问题都是多峰函数或病态函数，为了克服基本粒子群算法的缺陷，我研究了以下四种改进的粒子群算法(Most optimization problems are multi-peak functions or ill-conditioned functions. In order to overcome the defects of basic particle swarm optimization, I studied the following four improved particl
PSO的PID控制器
- 针对一般的粒子群优化(PSO)学习算法中存在的容易陷入局部最优和搜索精度不高的缺点,对改进型PSO算法进行研究。由于惯性权重系数ω对算法是否会陷入局部最优起到关键的作用,因此,通过改变惯性权重ω的选择,对惯性权重系数采取线性减小的方法,引入改进型的PSO算法。采用改进的PSO算法对PID控制器进行参数优化并把得到的最优参数应用于控制系统中进行仿真。仿真实验结果表明:改进型PSO算法不会陷入局部最优,能得到全局最优的PID控制器的参数,并使得控制系统的性能指标达到最优,控制系统具有较好的鲁棒性。(
fcmpso
- 使用pso结合fcm，对fcm进行优化的matlab程序，可以可以用用于学习。粒子群改进fcm，里边有一个适应函数文件和一个psofcm文件
PSOGM
- PSO优化粒子群,改进灰色预测的参数部分(PSO optimizes particle swarm optimization and improves the parameter part of grey prediction)