romberg

遗传算法解决作业车间调度问题，,这一M文件计算目标函数值。(Genetic algorithms to solve the job shop scheduling problem,, the M-file to calculate the value of the objective function....)

the introduction for arduino beginner

说明：  根据波导的边界条件求取麦克斯韦方程组，对波导当中电磁波传播的模式进行仿真(strike the Maxwell s equations According to the boundary conditions of media ,simulate electromagnetic wave propagation of waveguide modes )

雷达系统的理论和设计一直占主导地位 概率论与统计，信息理论，信号处理和控制 然而，类似的编码译码的属性之间存在的视觉 BIAM和雷达已经黯然忽视的m所有雷达系统(For over six decades, the theory and design of radar systems have been dominated by probability theory and statistics, information theory, signal processing and control However, the similar encoding-decoding property that exists between the visual biam and radar has been sadly overlooked m all radar systems)

MATLAB—linear equation with one unkown(linear equation with one unkown)

基于遗传算法的无功优化matlab实现方法软件包，调试基本通过，可直接下载应用，具体例子可以自己修改一下原代码(Based on Genetic Algorithm for Reactive Power Optimization method matlab package, debugging basic through direct download applications, specific examples can modify the original code)

Template Classes的用法(Template usage)

围绕粒子群的当前质心对粒子群重新初始化.这样，每个粒子在随后的迭代中将在新的位置带着粒子在上次搜索中获得的“运动惯性”（wvi）向Pi，Pg的方向前进，从而可以在粒子群的运动过程中获得新的位置，增加求得更优解的机会.随着迭代的继续，经过变异的粒子群又将趋向于同一点，当粒子群收敛到一定程度时又进行下一次变异，如此反复，直到迭代结束.(particle swarm around the center of mass of the current PSO reinitialization. Thus, Each particle in the next iteration will be in the new location with particles in the last search was the "inertia" (wvi ) Pi, Pg orientation, and thus can PSO course of the campaign was a new position, increase seek better solutions opportunities. With the continued iteration, after variation of PSO will tend to the same point. When PSO converge to a certain extent when the next variation, so repeatedly, until the end of iteration.)

一个完整的Installshield安装实例，初学者适用(The installation of a complete instance, for beginners)

粒子群算法的工具箱，可以不用再编程,参数设置也容易(Particle swarm optimization toolbox, you can not re-programming, parameter settings are also easily)