TSP算法，应用局部搜索法得到最优路径，已经经过优化。没有密码，可以使用，vc环境下使用。

我们解决八数码问题,广度优先搜索可能会导致内存不够用,采用启发式搜索,启发函数为f(x)=g(x)+h(x) g(x)为该结点不同于目标结点的个数,h(x)为该结点的深度,选择那f(x)结点最小的那个结点进行扩展, 引入了一个"扩展数组[4]"(因为扩展的结点最多只有4个),该数组保存着某个结点的0点向各个方向的扩展的结点对象,然后对该扩展数组进行分析,利用启发函数在进行递归扩展... -us solve eight digital, BFS may lead to insufficient memory, using heuristic search, heuristic function f (x) = g (x) h (x) g (x) for the target node is different from the number of nodes, h (x) for the nodes of depth, the choice between f (x) nodes that the smallest node expansion. the introduction of an "expanded array [4]" (because the expansion of the nodes at most four), The array maintains a node of 0:00 a.m. to expand in all directions in the target node, and then expanded array analysis, use heuristic function during recursive expansion ...

c++语言实现基于遗传算法的TSP问题，是学习遗传编程的很好的例子-c++ language implementation of the TSP problem based on genetic algorithms, genetic programming to learn a good example of

基于遗传算法的图案生成程序，其中有遗传算法的基本模块。-based on genetic algorithm design generation procedures, which are the basic genetic algorithm module.

模型自适应模糊控制源代码，基于matlab编程，并给出了仿真实例，具体说明见程序。-self-adapted mode of blured control program,based on matlab programming,and also have a emluator,and can concretely see program s explain

BP神经网络算法，可以调节隐层，输入输出等-BP neural network algorithm, can be adjusted hidden layer, input and output, etc.

分类算法是数据挖掘中最为重要的技术之通过介绍当前最具有代表性的分类算法,分析并总结了各种算法 -NULL

人工智能之八数码难题程序-8 digital artificial intelligence problems procedures

bp 神经网络的一个小程序 可以识别数字 -bp neural network program to identify a small number of

基本遗传学习分类系统算法，算法结构非常严谨，是不可多得的遗传算法！-basic genetic classification system algorithm, the algorithm as well as highly structured, is a rare genetic algorithm!

一个简单的用A*算法实现8数码问题的人工智能程序-use a simple A* algorithm to achieve the eight digital artificial intelligence procedures