use ant algorithm to solve the traveling salesman problem, and mfc applications,...

本程序用NetLogo开放，模拟行人流。为本人亲字编程。-the procedures used NetLogo open simulated flow. I affinity for the word programming.

解TSP问题的遗传算法C语言程序-solution of TSP genetic algorithm C Programming Language

模拟退火算法 模拟退火算法(Simulated Annealing,简称SA算法)是模拟加热熔化的金属的退火过程，来寻找全局最优解的有效方法之一。 模拟退火的基本思想和步骤如下： 设S＝{s1,s2,…,sn}为所有可能的状态所构成的集合， f：S―R为非负代价函数，即优化问题抽象如下： 寻找s*∈S，使得f(s*)＝min f(si) 任意si∈S （1）给定一较高初始温度T，随机产生初始状态S （2）按一定方式，对当前状态作随机扰动，产生一个新的状态S’ S’＝S＋sign(η).δ 其中δ为给定的步长， η为[－1,1]的随机数-simulated annealing algorithm (Simulated Annealing, or SA algorithm) is a simulation of heating molten metal in the annealing process, to find the global optimum one of the effective ways. Simulated Annealing basic ideas and the steps are as follows : S = (s1, s2, ..., sn) for all possible state posed by the pool, f : S-R non-negative cost function, that is abstract optimization problems are as follows : Find S* s, making f (s*) = min f (si) arbitrary si S (1) to set a higher initial temperature T, randomly generated initial state S (2) of a certain form, the current state of random disturbance, have a new state S "S" = S+ sign (). delta where given for the step, [-1,1] Random Number

使用C#编程语言开发，并在中实现。NET框架下的is学习

人工智能一个运行平台，可以很方便的将你的一些代码的执行-an artificial intelligence platforms can be very convenient to some of your code implementation

4×4矩阵式键盘识别技术 * 注：为了有更多实用的实验程序供大家学习，部分程序参考网上的资源， * 在此谢谢这些无私奉献的朋友-4 × 4 matrix keyboard recognition technology* Note: in order to have more practical experimental procedures for everyone to learn some of the procedures refer to online resources,* thank these selfless dedication Friend

遗传优化神经网络软件 需要在WIN98/95环境下能运行-genetic optimization neural network software in WIN98/95 environment can run

随机神经网络的源代码，对于研究神经网络的人来说，可能有一定的参考作用-random neural network source code for research neural network people, may have some reference

介绍了遗传算法工具箱及其具体的应用，很有参考价值.-introduced a genetic algorithm toolbox and its specific application of great reference value.

LIBSVM is an integrated software for support vector classification. LIBSVM provides a simple interface where users can easily link it with their own programs.