tsp问题用神经网络方法解决

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*算法，迷宫寻路，初步解析A*算法如何在迷宫寻路-Astar

BP神经网络的C语言实现 BP神经网络解决异或问题 canny源代码 HMM的C语言实现 isodata K-MEANS 车牌识别系统 矢量量化的C语言实现 -Neural Network C language BP neural network solution differences or problems canny source HMM C language isodata K-MEANS License Plate Recognition System Vector Quantization C Language

一个很好用的自适应人工神经网络模型库，包括ADALINE/RBF/多层前向等，另外内含Demo，更易上手-A good use of adaptive artificial neural network model library, including the ADALINE/RBF/Multi-layer and so on, the other containing the Demo, even易上手

遗传算法的VS2003工程，调试通过,An Introduction to Genetic Algorithms for Scientists and Engineers 书中的算法源程序-Genetic algorithm works VS2003, debugging through, An Introduction to Genetic Algorithms for Scientists and Engineers book algorithm source code

用感知器分类算法和最近邻分类算法对三类点进行分类，具有窗口界面，用鼠标点击就可以了，程序自动给出分类界面-Classification algorithm with the sensor and the nearest neighbor classification algorithm to classify three categories of points, with the window interface, with a mouse click can be had, the program automatically gives Classification Interface

用元胞自动机实现单色10000个空间位置的细菌分裂试验的算法C语言代码-Using Cellular Automata 10,000 monochrome realize spatial location of bacteria to split the test algorithm C language code

基于MATLAB完成的神经网络源程序 大家-Based on the MATLAB neural network to complete the U.S. source

本程序模拟细胞的自我繁殖，你会看到一个柔软的细胞诞生在电脑屏幕上，然后随着各个分子的撞击，细胞开始分裂，经过一段时间的演化，这个细胞会在溶液中把自己复制，然后这个过程会继续进行……。这种自我复制是在人工化学的基础上进行，比起原来的基于细胞自动机的自我复制更加形象逼真-the cell simulation of self-reproduction, you will see a soft cell birth on the computer screen, and then with all the percussive elements, cell division, after a period of evolution, the cells in the solution themselves copied, and then the process will continue ... . This self-reproduction of the artificial chemical basis, compared to the original cell-based automatic machine self-replication more vivid

这是一个解决TSP问题的遗传算法.里面有详细的介绍如何编写遗传算法,很值得参考.-This is a solution of TSP genetic algorithm. Which is described in detail how to prepare genetic algorithm, very good reference.