搜索资源列表
kekaoxing
- 可靠性优化的遗传算法求解，粒子群算法求解，非常简单，-reliability of the genetic optimization algorithm, the PSO algorithm, is very simple.
pso-constraints-multi
- 多目标粒子群算法，最优的解决方案，使用一个外部文件管理，拥塞机制筛选，灰色设计验过滤。-Multi-objective particle swarm algorithm, the optimal solution using an external file management, congestion mechanism screening, gray design posteriori filtering.
pso
- 基于单因子方差分析粒子群算法,加速因子的设置对算法基本性能-Based on one-way ANOVA PSO algorithm acceleration factor setting basic performance
BPnetyingyong
- 神经网络各种应用举例很分析，和其他遗传算法，PSO算法进行对比-Neural network application example analysis, and other genetic algorithms, PSO algorithm were compared
zuiduan
- 粒子群算法计算最短路径，高效，利用矩阵思想-PSO algorithm to calculate the shortest route, efficient use of matrix thinking
Smart-Microgrid-PSO
- 直流微电网采用光伏发电，光伏的最大功率点采用粒子群优化算法实现。(The DC microgrid adopts photovoltaic power generation, and the maximum power point of PV is realized by particle swarm optimization (PSO).)
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)
my_pso
- 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 开发的一种新的进化算法(Evolutionary Algorithm - EA)。(Particle swarm optimization (PSO), also known as particle swarm optimization (PSO) or Particle Swarm Optimization (