由 Visual C++ 编译过，可以求解任何个数城市的tsp问题，只要输入城市坐标即可。...

蚂蚁算法解TSP问题 为华中科技大学硕士毕业论文原代码。-Ant Algorithm for TSP to Huazhong University of Science and Master"s theses original code.

利用OPenCV写的一个hough变换检测直线的程序-OPenCV written using a hough transform line detection procedure

本算法采用最基本的遗传算法编写，有利于初学者掌握遗传算法的构成。-This algorithm is written by the most fundamental genetic algorithm,benefit the beginner to know the structure of genetic algorithm

用BP网络实现对图像的边缘进行提取，本程序为演示程序，可以看到BP在应用中的效果-BP network of image edges extraction, the procedure for the demonstration program, we can see BP in the application of the results

这是一个遗传算法中所目标优化的问题，请大家借鉴，-This is a genetic algorithm-objective optimization in the issue and we learn from

A SVM classifier, with detail documents.

模式识别中的K－均值算法演示-pattern recognition, the K-means algorithm demo

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

matlab中遗传算法的例子，希望对大家有用呀-Matlab genetic algorithm example, we hope to useful! !

利用 免疫算法求解TSP问题 可以精确求出50个城市-Using immune algorithm for solving TSP problems can be accurately calculated 50 cities