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基于遗传算法的体育彩票拟合与预测，经检验，中奖率高于随机号码。-based on genetic algorithm fitting sports lottery and forecasts, on examination, the winning rate than random numbers.

基于粒子滤波原理，选取颜色特征对目标进行描述，实现视频目标的实时跟踪，效果较好。-Principle-based particle filter, select the color characteristics of the target description, realize the goal of real-time video tracking, better.

神经网络BP算法源代码-BP neural network algorithm C sourcecode

清华仿真机器人2002年源码.rar。可以从下面这个网址找到更详细的内容。 http://www.lits.tsinghua.edu.cn/robocup-Qinghua robot simulation source code in 2002. Rar. From below the site to find more details. Http://www.lits.tsinghua.edu.cn/robocup

tsp问题，10个城市的最佳路径。。。。。。matlab-tsp problem, the best 10 cities in the path. . . . . . matlab

k-means算法 自定义数据样本和类中心 已经调试实现 并且有图清晰表示-k-means algorithm for custom data types of samples and testing center has been and realize that has a clear plan

简单的人工智能程序ELIZA的C源程序代码 8K-simple artificial intelligence ELIZA C source code 8K

基于遗传算法实现的人工控制的登月工程的模拟程序-based on genetic algorithm to achieve the artificial control of the simulated lunar landing procedures

地球模拟器，最经典的人工生命模型,研究人工智能的必看。一般地说，生命都具有新陈代谢、复制和进化的能力。在自然界中，生物是由有限的食物供给和有限的生存空间约束的。在Tierra中，“生物”由一系列能够自我复制的机器代码或程序组成，它在计算机中的复制分别受到计算机的存储空间和CPU时间约束。能有效地占有内存空间和利用CPU时间的生物体，将具有更高的适应度，传递到下一代的机会就越大。 在Tierra中，计算机的RAM（随机访问存储器）中有一块专门的空间，这个空间中放置了一个“祖先有机体”，该祖先有机体根据它的汇编程序代码中的指令开始复制对它的生存是基本的代码。随着有机体的数目的增加，RAM中的空间减少了，因此有机体为了自己的生存空间开始竞争。-Earth Simulator, the most classic of artificial life model, the study of artificial intelligence Watchable. Generally speaking, life is metabolism, reproduction and the ability of evolution. In nature, biomass is limited by the supply of food and limited living space constraints. In Tierra, "biological" to a series of self-replicating machine code or procedure, in which computers were copied by the computer storage space and CPU time constraints. Effective occupy memory space and CPU time using the organisms, will have a higher degree of adaptability, conveying to the next generation the greater the chances. In Tierra, computer RAM (random access memory) is

vb写的改进的遗传算法程序。是一些通用代码，与具体问题对应的代码空出来，用的时候填进去。根据我的经验，要想用好遗传算法，代码必须自己写，因为问题不同，编码，杂交，变异算子可能都不一样。特别是杂交算子，需要根据问题调整，甚至创造出新的杂交方法。而且适应度计算的代码也需要自己写，特别是带约束的优化问题 -vb write improvement in the genetic algorithm. Some common code, with the specific issues the corresponding code space, and the time spent filling into account. According to my experience, in order to make good use of genetic algorithms, code must write their own, because different issues, coding, hybridization and mutation operator may not like. In particular hybrid operator, the need to adjust the problem, or even create a new hybrid method. But fitness calculation of the code required to write their own, especially with the constrained optimization problem