ifreq

多目标优化 相对传统多目标优化方法, PSO在求解多目标问题上具有很大优势。首先, PSO的高效搜索能力有利于得到多目标意义下的最优解 其次, PSO通过代表整个解集的种群按内在的并行方式同时搜索多个非劣解,因此容易搜索到多个Pareto 最优解 再则, PSO的通用性使其适合于处理所有类型的目标函数和约束 另外, PSO 很容易与传统方法相结合,进而提出解决特定问题的高效方法。就PSO 本身而言,为了更好地解决多目标优化问题,必须解决全局最优粒子和个体最优粒子的选择问题(Compared with the traditional multi-objective optimization of multi-objective optimization method, PSO in solving multi-objective problem has a great advantage. First, PSO is conducive to the efficient search capabilities are more objective sense of the optimal solution Secondly, PSO representative of the entire solution set through the population by way of the inherent parallel search multiple non-inferior solution, and this can easily search for the most number of Pareto optimal solution Furthermore, PSO' s versatility make it suitable for handling all types of objective function and constraints addition, PSO is easy to integrate with the traditional method, and then propose an efficient way to solve specific problems. The PSO itself, in order to better address the multi-objective optimization problems, the need to address the global best particle and the individual selection of the optimal particle)

Secret Image Sharing Schemes

异步电动机矢量控制模型，simulink仿真模型，matlab虚拟实现(Vector control induction motor model, simulink simulation model, matlab Virtual Reality)

morphological operations on images

使用MATLAB代码编写的聚类分析，可以完成多类数据的分类(using matlab complete class recognition)

OSL0稀疏重构算法 SL0的优化版 输入: y:测量值向量 A:测量矩阵 A_pinv:A的广义逆 输出: xr:重构信号 实现信号的压缩重构(OSL0 u7A00 u758F u91CD u6784 u7B97 u6CD5 SL0 u7684 u4F18 u5316 u7248 u8F93 u5165: y: u6D4B u91CF u503C u5411 u91CF A: u6D4B u91CF u77E9 u9635 A_pinv: A u7684 u5E7F u4E49 u9006 u8F93 u51FA: xr: u91CD u6784 u4FE1 u53F7 u5B9E u73B0 u4FE1 u53F7 u7684 u538B u7F29 u91CD u6784)

MATLAB程序实现蚁群算法，压缩包中有源码(MATLAB program realization of ant colony algorithm, compressed package in the source code)

Effect of wind speed characteristics on DFIG performance

this is one of the best satelite code in the world to find the look angle

support vector machine