一个简单的遗传算法 采用实数编码、比例分配轮盘赌选择、杂交采用离散与算术双重杂交、一般性变异。...

用matlab语言编写模拟退火算法，实现0－1被包问题-using Matlab language simulated annealing algorithm to achieve 0-1 by Kit

连续型粒子群算法的java实现，可以自己设计粒子群算法（继承Swarm和Particle类），包含有三个个抽象类（Swarm、Particle、Problem），可以继承Problem类自定义新的问题。-continuous particle swarm algorithm to achieve the java can design their own PSO algorithm (inheritance and Particle Swarm), contains an abstract category 3 (Swarm, Particle, Problem), can be inherited from the definition of Class Problem new problems.

堆排序适合于待排序文件中记录较多的情况，因为其主要的时间开销在于建堆和调整堆-HEAPSORT be suitable for sorting paper records more, because the main overhead is the time to build reactors and adjusting the heap

利用遗传算法编写的恐龙路径优化走法！可以根据自己的要求改变恐龙的路径-The use of genetic algorithm to optimize the preparation of the dinosaurs walk the path of law! Requirements can change according to their own path of dinosaurs

C4.5决策树matlab程序,本人找了很久才找到，绝对能用-C4.5 Decision Tree code

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation).源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域-Particle Swarm Optimization (PSO) is an evolutionary technology (evolutionary computation). Predatory birds originated from the research PSO with similar genetic algorithm is based on iterative optimization tools. Initialize the system for a group of random solutions, through iterative search for the optimal values. However, there is no genetic algorithm with the cross- (crossover) and the variation (mutation). But particles in the solution space following the optimal particle search. The steps detailed chapter on the future of genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization, neural networks, fuzzy systems control and ot

这个程序是个神经网络提供学习能力的实例，是前一个simpleann的功能加强版。-this procedure is a neural network learning ability example is the former simpleann an enhanced version of the function.

c++编译的目标规划遗传算法，编写了较为详细的原程序，被广泛使用。-the genetic programming algorithm, to prepare a more detailed program, has been widely used.

用人工智能实现的足球机器人人仿真比赛的程序-using artificial intelligence robot soccer simulation games who procedures

模式识别以及重要问题，很好的内容，千万不要错过-Pattern recognition, as well as important issues, very good content, do not miss