New1Composite_14BusMicrogrid

说明：  粒子群算法，也称粒子群优化算法或鸟群觅食算法（Particle Swarm Optimization），缩写为 PSO， 是由J. Kennedy和R. C. Eberhart等开发的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法(Particle Swarm Optimization (PSO), also known as Particle Swarm Optimization (PSO), is a new evolutionary algorithm developed by J. Kennedy and R. C. Eberhart. PSO is a kind of evolutionary algorithm, which is similar to simulated annealing algorithm. It starts from random solution and searches for the best solution by iteration. It also evaluates the quality of solution by fitness. But it is simpler than genetic algorithm rules. It has no Crossover and Mutation operation of genetic algorithm. As a result, it searches for global optimum by following the optimal value currently searched. This algorithm has attracted the attention of academia for its advantages of easy implementation, high accuracy and fast convergence, and has shown its superiority in solving practical problems. Particle swarm optimization is a parallel algorithm)

说明：  双基地MIMO雷达目标跟踪算法MATLAB(target tracking algorithm in biastic MIMO radar system)

Fortran Optimisation sqp

说明：  完全免费的机器学习实战中文版和英文版资料(Machine learning materials)

像 ubunto barr 颜色司的变化与进步巴尔的酒吧在节点和多 mure，我发现这分组件时寻求其他人为我的项目。

基于STM32的以太网通讯程序，拥有服务器端和客户端，以socket编程为主导，拥有强大的通讯能力，数据不会轻易丢失( U57FA u4E89.04 u7E9 u2992 u2193 u7A0B u5A U4E3A u4B3B u5BFC uFF0C u62E5 u6709 u5F3A u5927 u7684 u901A u8BAF u809D )

打兔子游戏，datuzi，仅供参考，代码不是很完美-Rabbit playing the game, datuzi, only for reference, the code is not perfect

本例是一个小程序，小球可根据直线运动，当到达屏幕边界时返回。-This example is a small program, small balls according to linear motion, when the reach the edge of the screen when you return.

说明：  /*2018年TI杯 手势识别 * 作者：我的凉席很烫。Mivh 用到串口屏幕，FDC2214，TM4C123GH6PM(/* 2018 TI Cup Gesture Recognition * Author: My mat is very hot. Mivh Using serial screen, FDC2214, TM4C123GH6PM)

应用背景还记得玩不厌的贪吃蛇吧，这一游戏虽操作简单，但是具有绝佳的可玩性，对于这一款经典游戏，使用C++编译完成了，感兴趣的朋友可以试试，效果还不错。关键技术其中用到的都是较使用的技术处理手段，墙的建立与运动函数处理，键盘识别，分数累计，运动块添加等，对于程序的编写并不难，但是其中的几种处理手段比较经典，适合初学者使用