该进化算法的实现基于VC++6.0的开发平台，主要是用算子改进进化策略算法。...

前馈神经网络算法-feed forward neural network algorithm

kmeans算法的java描述，我自己编写的，可以运行的-java kmeans algorithm description, I am prepared, ready-to-run

本程序是进行路径的寻找的程序，是一个朋友写的，特此说明。可以进行路径寻优处理。运行时需要导入的图片在代码文件夹中。-this program is the path to find procedures, a friend wrote, it is noted. Can handle path optimization. Need to run into the picture in the code folder.

模拟退火算法经常用于最优化问题，本算法通俗易用！-Simulated annealing algorithm often used for optimization problems, this algorithm is popular to use!

遗传算法VC编程，对于初学者可能有用，多多支持~-VC programming genetic algorithms, may be useful for beginners, the generous support of ~

利用一个较为成熟的遗传算法基础类库（作者:刘康），我自己在做论文的时候写得一个关于利用遗传算法进行节点部署应用的实验程序。您可以很容易地在其基础上实现自己应用相关的算法程序，进行研究验证工作。希望此源码能够为相关人事提供帮助。-Use of a more mature class library based on genetic algorithm (Authors: Liu Kang), I have to do when writing a thesis on the use of genetic algorithm application node deployment Experimental procedures. You can easily realize in their own applications based on the algorithm-related procedures, conduct research validation. I hope that this source can provide assistance for the relevant personnel.

蚂蚁算法的js实现 前段时间在网上收集的-Ant Algorithm js realize some time ago in the online collection

简单一元函数优化实例，利用遗传算法计算下面函数的最大值-One dollar a simple example of function optimization using genetic algorithm function below the maximum

遗传算法多点交叉算法-genetic algorithms more cross-Algorithm

最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. -The newest work tools of svm,it will be very convenient to have it.