用于程序优化与遗传算法

细胞自动机的，很好的-Cellular Automata and fine

交流 模糊控制 交流 模糊控制-Exchange of the exchange of fuzzy control fuzzy control

用于求解TSP问题的c++程序，已经试运行过-BasicAntColon AlgorithmC++forTSP

高人用C＋＋写的ALOPEX(即模式提取算法)实现程序，程序相当精炼，值得大家研究！-expert C++ to write the ALOPEX (model extraction algorithm) procedures, procedures considerable refining, we should study!

模糊算法，实现了求交法计算模糊蕴含关系、最大最小法进行合成运算、求并法计算输出量的模糊集合、加权平均法计算实际的清晰控制量等部分的详细代码。-Fuzzy algorithm, the realization of the intersection method to calculate fuzzy implication relations, max-min method for synthesis of computing, and method for output fuzzy sets, the weighted average method to calculate the actual volume of clear control of part of the detailed code.

这个是做自动控制的小车的代码，这里有一些模块的程序，可以参考。-This is the automatic control of the car to do the code, here are some program modules, you can reference.

labview编写的EMD分解程序，欢迎有研究的一起讨论。-PC EMD prepared by the decomposition process, welcomed the study together.

GENNET是一个通过遗传算法优化权重的16个神经元的全连接神经网络。训练目的是使网络在一定假设的激励下，随时间产生同目标函数同样的响应，即:可以把此网络制作为一个任意波形的信号发生器。 程序分3个示例说明遗传算法进化过程中网络输出的变化趋势。可以看出网络输出（蓝色曲线）随着时间变化逐渐逼近目标函数（红色曲线）。此程序不仅可以学习遗传算法，也可以用于研究全连接网络的直观示例。-GENNET is a genetic algorithm to optimize the weights by the 16 neurons fully connected neural networks. Training purposes is to enable network inspired by certain assumptions, over time, produce the same response with the objective function, namely: the network can be produced as an arbitrary waveform signal generator. Procedure, three examples illustrate the evolution of genetic algorithms in the network output trends. We can see that the network output (blue curve) changes over time, gradually approaching the objective function (red curve). This program can not only learn from the genetic algorithm can also be used to study visual example of a fully connected network.

是一个非常全面的pso的程序，有16个函数的测试，并且用三维图形将寻优过程显示出来。对所有的参数都可以修改测试-Is a very comprehensive procedure for the PSO, there are 16 function testing, and using three-dimensional graphics optimization process will be displayed. For all the parameters can modify the test

基本遗传算法 里面的函数可自行更换 适合初学者 容易理解-A function of the basic genetic algorithm which can be suitable for beginners is easy to understand on their own replacement