pppoe-3.8.tar

说明：  人工蜂群算法是模仿蜜蜂行为提出的一种优化方法，是集群智能思想的一个具体应用，它的主要特点是不需要了解问题的特殊信息，只需要对问题进行优劣的比较，通过各人工蜂个体的局部寻优行为，最终在群体中使全局最优值突现出来，有着较快的收敛速度。为了解决多变量函数优化问题，Karaboga提出了人工蜂群算法ABC模型。(Artificial bee colony algorithm is a kind of optimization method which imitates the behavior of bees. It is a specific application of swarm intelligence. Its main feature is that it does not need to know the special information of the problem, only needs to compare the advantages and disadvantages of the problem. Through the local optimization behavior of each artificial bee individual, the global optimal value is finally highlighted in the group, and has a faster convergence speed. In order to solve the problem of multivariable function optimization, karaboga proposed the ABC model of artificial bee colony algorithm.)

使用改进的PSO算法优化BP神经网络是实现数据的分类。调试通过，替换样本数据即可使用(Optimizing BP neural network using improved PSO algorithm is the classification of data. Debug through, replace sample data can be used)

UDP协议测试工具，可根据设定绑定UDP绑定IPD端口，进行相关的UDP吸引收发数据测试。(UDP protocol test tools, according to the set bound to the UDP binding IPD port, the UDP attract send and receive data test.)

小波包分解及bp神经网络训练程序，可用于进行模式识别(bp neural network training program, can be used for pattern recognition)

此程序为网络电视，根据IP地址与端口可以获得视频或电影！-This procedure for network television, according to IP address and port access to video or film!

toyFDTD一个简单的三维FDTD的程序用Fortran编的(ToyFDTD a simple 3D FDTD program written in Fortran)

最佳化過的twofish演算法,想學習twofish密碼的千萬不能錯過(optimization algorithm by twofish, twofish want to learn the passwords should not be missed)

说明：  基于模糊原理的温度控制演示程序，C++编写，完整的模糊控制算法(Fuzzy theory based temperature control demonstration program, the preparation of C, a complete fuzzy control algorithm)

为进一步提高螺栓遗传算法的优化效率，加速寻优过程，提出基于对立策略的螺栓遗传算法。该算法在种群初始化阶段和变异阶段均用对立取代随机方式，提高产生解的质量。利用测试函数对算法的效率进行检验，将其与差分算法、遗传算法、粒子群算法和螺栓遗传算法进行对比，结果表明，新算法具有更快的收敛速度和更高的求解精度。(In order to improve the performance of Stud Genetic Algorithm(SGA) and accelerate the convergence speed, an improved stud genetic algorithm based on opposition is proposed. Conventional random method is replaced with opposition method in both population initialization and mutation, which can improve the quality of solutions. Based on benchmark functions, the optimization performance of the algorithm is compared with genetic algorithm, different evolutionary, particle swarm optimization and stud genetic algorithm, the results show that the new algorithm has better optimization performance.)

基于C语言，实现遗传算法得到最优值，其中包括选择、交叉、变异操作(C-based, genetic algorithm to achieve optimal value, including selection, crossover and mutation)