资源列表
Generic
- 这是人工智能的初级应用遗传算法的初级代码 喜欢人工智能的同学可以从此开始-This is the primary application of artificial intelligence, the primary source of genetic algorithms like artificial intelligence, students can begin to start
TSP-GA
- 使用遗传算法解决TSP问题，简单，通用，鲁棒性好-The use of genetic algorithm to solve the TSP problem, simple, universal, robust and good
Fontracognition
- 此程序是，关于字体是别的一个简单程序。虽然不是很完美，但还可以用。希望感兴趣的朋友下载，并给个建议。-This procedure is, on the other fonts is a simple procedure. Although not perfect, but it can also be used. Hope that interested friends to download, and give some suggestions.
BackPropogation
- 一个简单的BP神经网络实现，权值的修正上还不成熟，学习样本的量有限，不过学习效果觉得还不错-A simple BP neural networks, the weights of the amendment is not yet mature, the amount of learning samples is limited, but feel pretty good learning outcomes
AnOrganizationalCoevolutionaryAlgorithm
- 遗传算法:非数值并行算法遗传算法.非数值并行算法遗传算法.遗传算法:非数值并行算法遗传算法.非数值并行算法遗传算法.-An Organizational Coevolutionary AlgorithmAn Organizational Coevolutionary AlgorithmAn Organizational Coevolutionary Algorithm
yichuan
- 人工智能中的遗传算法源码，仅供交流使用！-Artificial Intelligence in the genetic algorithm source code, only the exchange of use!
p2gAp4.tar
- TSP Algorithm (GRASP+Simmulated annealing) TSPLIB format compliant
yuesefu
- 洛杉矶粮食价格仍将gagdljgs 山东科技管理上 德鲁克价格上的-Los Angeles, food prices will continue to gagdljgs Shandong Science and Technology Management at the price on the Drucker
cp321123
- 这是一个非常简单的遗传算法源代码，是由Denis Cormier (North Carolina State University)开发的，Sita S.Raghavan (University of North Carolina at Charlotte)修正。代码保证尽可能少，实际上也不必查错。对一特定的应用修正此代码，用户只需改变常数的定义并且定义“评价函数”即可。注意代码的设计是求最大值，其中的目标函数只能取正值；且函数值和个体的适应值之间没有区别。该系统使用比率选择、精华模型、单点杂交
Sheffield_GATBX
- 英国Sheffield大学的遗传算法工具箱GATBX,方便初学者-Sheffield University in the United Kingdom Genetic Algorithm Toolbox GATBX, easy for beginners
408460511Immune_Program
- 基于GP的简单的加减乘除的算法实现，里面体现了GP的设计过程-Based on the GP of the simple calculation of the algorithm, which embodies the design process GP
Gauss-SVM
- 基于Gauss 核函数SVM分类机，使用二阶几何方法训练。-Gauss kernel function SVM classification based on machine, using the geometric method of second-order training.