该进化算法的实现基于VC++6.0的开发平台，主要是用算子改进进化策略算法。...

一个进行数据挖掘的好方法，可以对数据集中的频繁项进行挖掘。但是有一定的缺点，还有需要改进的地方！-Data mining of a better way to focus on data mining of frequent items. Must have the disadvantage, however, also need to improve the place!

遗传算法,实现的是一个猜答案的过程， 这种算法比较经典，可以借鉴-genetic algorithm to achieve guess the answer is a process, this method is classic, we can draw on

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

文本识别是一个基础但却重要的课题，本算法给出其具体的实现过程。-Text identification is a basal but important task.This arithmetic give a material realized process.

基于股票的程序-Stock-based procedures

用Delphi语言编写的遗传算法，内容较多，可以参考-Delphi language prepared by the genetic algorithm, a great deal of content, they can refer to

AIML的实现，AIML是机器人语言中比较适用的原型，希望大家喜欢-AIML realization, AIML robot language is more applicable to the prototype, I hope everyone likes

C++实现的支持向量机神经网络代码，欢迎各位使用-C realized SVM neural network code, welcome you use

本算法使用了遗传算法的方法实现了随机数的生成方法。能够比较平均得实现随机数的生成。-The algorithm uses a genetic algorithm to achieve the method of random number generator. Compared to the average achieved in the generation of random numbers.

文本倾向性分析程序，由中国科学院计算所开发，基于LDA模型，不可外泄的内部程序，冒着被开除的风险与大家分享，欲下从速。-Tendentious text analysis program, developed by the Chinese Academy of Sciences calculated, based on the LDA model, the internal procedures can not be compromised, despite the risk of being fired to share with you, as soon as possible For the next.