为遗传算法提供基类，该基类将评价函数值直接作为适合度，采用新个体直接替换老个体的整体再生法...

使用labview编写的dice游戏，很有趣味性。-prepared by the use of PC dice games, very interesting.

本程序为遗传算法示范程序（visaul c++ 源程序）-procedures for the genetic algorithm model procedures (c visaul source)

《游戏编程中的人工智能技术》一书中123章源代码- Game programming in artificial intelligence technology, one source book, Chapter 123

BP神经网络解决异或问题-BP neural network or problems to solve differences

人工智能人工神经网络源码，很不错的！！可以学习-Artificial intelligence artificial neural network source code, it is good! ! Can learn

University of Amsterdam的2003年robocup源程序代码，队名trilearn，老牌2D强队-University of Amsterdam

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation).源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域-Particle Swarm Optimization (PSO) is an evolutionary technology (evolutionary computation). Predatory birds originated from the research PSO with similar genetic algorithm is based on iterative optimization tools. Initialize the system for a group of random solutions, through iterative search for the optimal values. However, there is no genetic algorithm with the cross- (crossover) and the variation (mutation). But particles in the solution space following the optimal particle search. The steps detailed chapter on the future of genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization, neural networks, fuzzy systems control and ot

实现了二维数据的K均值算法以及ISODATA分类算法-Achieve a two-dimensional data, as well as K-means algorithm ISODATA classification algorithm

结合均匀设计表和小边经验公式产生初始种群，使TSP应用遗传算法能求出更优更快解，详尽说明见paper.doc。-uniform design combining a small side table and have empirical formula initial population, TSP application of genetic algorithms can be obtained faster and better solutions, detailed description of paper.doc.

是实现关系型贝叶斯网络一中机器学习算法，从国外相关研究人员的主页上下载收集。