基于java实现的遗传算法的源代码，利于初学者了解GA以及如何用java实现。...

改进遗传算法－郭涛算法做最优化问题很管用,算法的基本思想是 先任意产生n个随机数，然后从n个数里随机选择m个数，再有这m个 数合成一个新数，将这个新数同n个数中间适应值函数值的最差的比较， 如果好的话就取代最差的那个，如果它比最好的还要好的话，则把最好的 也取代。如果比最差的坏，则重新合成一个新数。依次循环下去。 程序的奇妙之处是GA_crossover()函数，产生的新数确实比较好，看看 那位大侠能改进一下，产生比这跟好的数。-improved genetic algorithm- Guo Tao done optimization algorithm is very effective, and the algorithm is the first basic idea arbitrary n generated random number and then the number li n m randomly selected number, and this number m of a new synthesis of the new middle with n number fitness function of the worst by comparison, if a good case to replace the worst, um, if it even than the best, then ruled the best have replaced. If worse than the worst, a de novo synthesis of new. Followed by the cycle continues. The magic of procedures is GA_crossover () function, the new really good to see heroes who can be improved upon, it generated more than a few with a good.

利用hopfield神经网络解决TSP(旅行商)问题-use hopfield neural network to solve TSP salesman problem (TSP)

利用遗传算法搜索函数最优解的c++源程序 -use of genetic algorithm search function to the optimum solution c source

一个Ｃ编写的足球机器人比赛程序，算法很好-C prepared by a robot soccer competition procedures, a good algorithm

该程序包主要讲述了遗传算法。文中的遗传算法是由C语言所编出来的。能够达到很好的优化效果。-The package focuses on the genetic algorithm. In this paper, genetic algorithm is made by the C language out. Optimized to achieve good effect.

基于Viusal C++开发的遗传算法源程序，在VC6.0环境下调试通过。-Based on Viusal C++ Developed genetic algorithm source code in VC6.0 environment debug through.

程序包含的设置包括：列数、样本总个数、建模样本数、预报因子数、预报对象数、学习因子、 动量因子、训练次数、总体误差、隐节点数。-procedures contained in the set include : number, the total sample number, the number of samples modeling, forecasting several factors, forecasting several targets, learning factor, momentum factor, the number of training, the overall error of hidden nodes.

高人用C＋＋写的ALOPEX(即模式提取算法)实现程序，程序相当精炼，值得大家研究！-expert C++ to write the ALOPEX (model extraction algorithm) procedures, procedures considerable refining, we should study!

改进的量子搜索算法的论文，用于模式识别等方面-Quantum search algorithm to improve the paper for pattern recognition, etc.

识别数据集,可以用来作为,分类的实验数据.类别:模式识别-Identification of data sets, can be used as, the classification of experimental data. Category: Pattern Recognition