平台vs2005 模拟固体退火算法实现144个城市的旅行商问题，可设置具体参数...

双向广度优先搜索算法法见8SM2.cpp文件，vc6.0环境运行实现-two-way breadth- first search algorithm see 8SM2.cpp France, achieving operating environment vc6.0

一个非常酷的机器人的源程序，你可以自己制作你喜欢的机器人并保存起来，很有意思哦(137KB)-A very cool robot of the source, you can own your favorite robot and save up, oh, very interesting (137KB)

一组老外编写的神经网络源代码，非常值得收藏和研究。有BPN、ART1、ADALINE、SOM、CPN、HOPFIELD、BOLTZMAN等神经网络。吐血推荐在进行神经网络编程的朋友下载。 -a group of foreigners prepared neural network source code is very worthwhile collection and research. There are 7.82, ART1, ADALINE, SOM, CPN, Hopfield, BOLTZMAN such as neural networks. Suggest to vomit blood during neural network programming downloaded friends.

股票选择的遗传算法-stock options Genetic Algorithm

模式识别中关于感知器算法的程序,输入点进行聚类.-pattern recognition algorithm on the perception of the process, input cluster.

neural network in C language

利用模拟退火法求解TSP问题 可以求得50个城市的精确解-The use of simulated annealing algorithm for solving TSP problems can be obtained 50 cities Exact Solutions

人工股市（Artificial Stock Market，简称ASM）是模拟股市运作的一个程序。在这个电脑中的虚拟市场中，若干被称为交易者的人工智能程序(Agent)通过观察它们所在的数字世界中股价和股息的不断变换而做出预测，并且根据这些预测做出购买股票与否以及购买股票数量的决策。反过来，所有的交易者的决策又决定了股票的价格，这样，整个的股票交易市场就构成了一个自我封闭的计算系统。同时，这些交易者都具有学习的能力，可以根据以前预测的成功或者失败对自己的决策进行调整，并且通过一种被称为遗传算法的方法产生创新能力。总之，ASM是一个电脑中不断进化的虚拟股票市场！通过研究ASM，我们可以更好的理解现实世界的行为，并且它提供了一个很好的现实股市的隐喻。 备注：该程序运行需要有Swarm平台的支持，关于这个平台可以到http://www.swarm.org免费下载。 -artificial stock market (Artificial Stock Market, or ASM) is a stock market simulation operation of the procedure. In this computer in the virtual market, a number of traders known as artificial intelligence (Agent) by observing them where the digital world and the stock dividend and the constantly changing projections, and based on these projections made whether or not to purchase stocks and the purchase of shares in decision-making. Conversely, all the decision-making transactions in turn determines the share price, so that the entire stock market would constitute a self-enclosed computer system. Moreover,

蚁群算法及其在TSP中的应用。一篇很好的论文。-Ant colony algorithm and its application in the TSP. A very good paper.

程序演示的是用简单遗传算法随机一个种群，然后根据所给的交叉率，变异率，世代数计算最大适应度所在的代数-Program demonstrates that the simple genetic algorithm with a random population, then according to the crossover rate, mutation rate, calculating the maximum number of generations where the fitness of algebraic