JavaApplication6

nrf24l01 asb transmitter using avr mcu

线性规划模型与整数规划 线性规划模型与整数规划()

离散粒子群算法，二进制编码！！！！!!!!(binary particale swarm optimmzation, binary code!!!)

音乐类型的好网站-types of good music website

用java编写的猜数字的小程序 很简单的 东西 还有贪吃蛇-with java prepared by the ringing of a small procedure very simple things have a huge memory

说明：  粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来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 called particle swarm optimization (Particle Swarm Optimization), is abbreviated as PSO, which is a new evolutionary algorithm (Evolutionary Algorithm EA) developed in recent years. PSO algorithm is a kind of evolutionary algorithm. It is similar to simulated annealing algorithm. It also starts from the random solution and finds the optimal solution by iteration. It also evaluates the quality of the solution through fitness, but it is simpler than the genetic algorithm rule. It does not have the crossover (Crossover) and the Mutation operation of genetic algorithm. Search for global optimum. This algorithm has attracted the attention of the academic community for its advantages of easy realization, high accuracy and fast convergence, and has shown its superiority in solving practical problems. Particle swarm optimization (PSO) is a parallel algorithm.)

模拟仿真ABS,基于labview和carsim(ABSmod labview and carsim)

说明：  实 现 小 程 序 机 器 人 聊 天(Realization of Small Program Robot Chat)

达芬振子matlab编程相图分叉图庞加莱映射主程序ODE45(Duffing oscillator matlab programming diagram bifurcation diagram)

16*16点阵显示汉字，能够实现汉字循环移动，已经调试过了-16* 16 dot matrix display Chinese characters, Chinese characters can be achieved recycling movement, has been passed to debug