用C编写的遗传算法程序

use swarm intelligence to simulate network routings in omnet-use swarm intelligence to simulate networ k routings in omnet

神经网络仿真工具，本程序是BP算法的演示程序, 其中的Levenberg-Marquardt算法具有实用价值.-Neural network simulation tool, this program is BP algorithm demo program in which the Levenberg-Marquardt algorithm has practical value.

LinPacker是一个优化矩形布局的工具，是在具有遗传算法的半无限大小区完成这一操作的。对缩减工厂的库存是有用的。-LinPacker optimization is a rectangular layout of the tool, with a genetic algorithm in the semi-infinite size of the area to complete the operation. To reduce factory stocks will be useful.

识别动物的专家系统,包括长颈鹿、斑马、鸵鸟、企鹅、信天翁等七种动物的简单专家系统,表现了专家系统的框架结构-Expert system to identify animals, including giraffes, zebras, ostriches, penguins, albatrosses and other seven animals, a simple expert system, the performance of the expert system framework

最新开发的小波融合算法实现VC程序。非常好用。-latest development of the wavelet algorithm VC fusion procedures. Very handy.

基于c语言的人工免疫算法的源程序，PDF格式的，内容详尽，欢迎下载。-C 基 party knife 的人工免 La疫Ju 法的 are 程 Saitama, PDF 格 driving 的, 内容 circle 尽, 欢 short Gou tong.

匈牙利命名法则，关于在编程中变量的命名的一个很好的参考！-Hungary naming rules，a good reference of naming variables in the programming！

用matlab仿真的递推极大似然法辨识程序，可用来进行系统辨识，很好用-simulation using Matlab Recursive maximum likelihood method identification procedures, which can be used for system identification, good use

一个完整BP神经网络源代码，包括数据和说明文档,很有用的。-A complete BP neural network source code, including data and documentation, very useful.

改进遗传算法－郭涛算法做最优化问题很管用,算法的基本思想是 先任意产生n个随机数，然后从n个数里随机选择m个数，再有这m个 数合成一个新数，将这个新数同n个数中间适应值函数值的最差的比较， 如果好的话就取代最差的那个，如果它比最好的还要好的话，则把最好的 也取代。如果比最差的坏，则重新合成一个新数。依次循环下去。 程序的奇妙之处是GA_crossover()函数，产生的新数确实比较好，看看 那位大侠能改进一下，产生比这跟好的数。-improved genetic algorithm- Guo Tao done optimization algorithm is very effective, and the algorithm is the first basic idea arbitrary n generated random number and then the number li n m randomly selected number, and this number m of a new synthesis of the new middle with n number fitness function of the worst by comparison, if a good case to replace the worst, um, if it even than the best, then ruled the best have replaced. If worse than the worst, a de novo synthesis of new. Followed by the cycle continues. The magic of procedures is GA_crossover () function, the new really good to see heroes who can be improved upon, it generated more than a few with a good.