不确定规划 遗传算法 Nonlinear Programming算法程序

高性能交流伺服系统及其复合控制策略研究，浙江大学博士论文。 关键词:交流伺服系统，矢量控制，直接转矩控制，复合控制，PID控制，GA，IGA，模糊控制，切换控制，协调控制-High Performance AC Servo System and its Advanced Mixed Practical Control Strategy.Thesis of Zhejiang University. Keywords:AC servo system, Vector Control, Direct Torque Control,Combined Control, PID Control, GA, IGA, Fuzzy Control, Coordinating Control.

A matlab code for a reinforment learning routing problem-A Matlab code for a reinforment learning ro uting problem

基于C语言人工免疫源程序,包括二进制编码的简单遗传算法源程序，二进制编码的简单克隆选择算法源程序-Artificial Immune-based C language source code, including a simple binary-coded genetic algorithm source code, binary-coded clonal selection algorithm simple source

一个语音信号端点检测的程序，算法可能需要根据具体的应用调整一些参数。请使用者自己调整，根据不同的噪声环境。-A voice signal endpoint detection procedure, the algorithm may need to adjust according to specific application parameters. Please adjust the user, according to different noise environments.

只要输入相关参数就可以得到结果，最值遗传算法，含源码-Just enter the relevant parameters can be the result, the most value genetic algorithm, with source

人工智能的一种典型的启发式搜索算法，是一种最好优先的算法，但要加上一些约束条件。-A typical artificial intelligence heuristic search algorithm, is a priority of the best algorithm, but to add some more restrictive conditions.

K-均值聚类算法的编程实现。包括逐点聚类和批处理聚类。K－均值聚类的的时间复杂度是n*k*m，其中n为样本数，k为类别数，m为样本维数。这个时间复杂度是相当客观的。因为如果用每秒10亿次的计算机对50个样本采用穷举法分两类，寻找最优，列举一遍约66.7天，分成3类，则要约3500万年。针对算法局部最优的缺点，本人正在编制模拟退火程序进行改进。希望及早奉给大家，倾听高手教诲。-K-means clustering algorithm programming. Point by point, including clustering and clustering batch. K-means clustering of the time complexity of n* k* m, n samples, several types of k, m sample dimension. The time complexity is a very objective. Because if we use one billion times per second the computer using 50 samples of two exhaustive method to find the optimal set out again about 66.7 days, divided into three categories, offering 3,500 years. Local optimal algorithm against the shortcomings, I was prepared simulated annealing process improvements. Early Feng hope for everyone, listen to the master teachings.

This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Density, Citation-kNN, Iterated-discrim APR, and EM-DD. Ensembles of these single multi-instance learners can be built with this toolbox

基于股票的程序-Stock-based procedures

此为蚂蚁算法求解TSP的源代码，希望对大家有所帮助-This is the ant algorithm to solve TSP source code, and they hope to help everyone