遗传算法程序，是用java编写的，适合学习最优化的朋友来作为参考...

本人编写的QR分解的神经网络算法，该算法用QR分解神经网络的隐含层矩阵，可以作为学术上的比较和分析。适合各种benchmark问题，本人还加了自动产生分类向量和自动适应各种函数的例子-I prepared the QR decomposition of neural network algorithm using QR decomposition neural network hidden layer matrix, can be used as an academic comparison and analysis. Suitable for a variety of benchmark problems, I also added automatically generated classification and automatic vector function to adapt to a variety of examples

KNN和BP的算法实现。输入一系列的样本值，进行训练和分类。源码是实现了两个分类器，已经调试通过-KNN and BP algorithm. Enter a series of sample values, for training and classification. Source is to achieve the two classifiers have been debugging through

SPEA2源码，效果相当好 ZIZTLER系列复杂函数只有第三个效果不太好-SPEA2 source, the effect ZIZTLER very good series of complex functions, only the third effect is not a good

使用Astar算法实现的八数码问题。C++编写，控制台应用程序，实现简单，代码轻便。-Astar algorithm using eight digital issues. C++ written in the console application, to achieve simple and lightweight code.

采用面向负荷控制技术，用面向对象思想与快速原型法的设计方法，在SQL SERVER数据库中实现模型及数据的存储。算法尽量简单实用，时间复杂性及空间复杂性必须在实际环境允许的范围之内。-used for load control technology, using the object-oriented thinking and rapid prototyping of the system, SQL Server database implementation model and data storage. As simple and practical algorithm, time and space complexity of complexity in a realistic environment to the extent permitted within.

标准的粒子群优化算法,visual c++.net环境下编写的代码,有助于学习和理解粒子群算法-Standard particle swarm optimization algorithm, visual c++. Net code to prepare an environment to help learning and understanding of particle swarm optimization

Particle Swarm Optimization (PSO) for the TSP

经典的BPN人工神经网络例子源码 ，很经典的-BPN classic examples of artificial neural network source code, it is classic

实现了一个简单的花朵进化的模拟过程。 花朵的种群数量是10，共进化了50代。 -The realization of a simple simulation of the evolution of flowers. Flower populations is 10, a total of 50 on behalf of evolution.

神经网络与遗传结合算法-neural networks and genetic algorithms combine