资源列表
keda
- 人工智能足球Robocup的学习文档，内含ppt还有学习笔记与心得-Robocup soccer learning artificial intelligence document, containing notes and tips for learning ppt there
FISHTSP
- 此为人工鱼群算法，用C++实现，效率较高-This is the artificial fish-swarm algorithm, using VC implementation, more efficient
kedarobocup
- 科大蓝鹰队2000到2004年robocup代码，内含球队决策与个体之间配合的文档-HKUST Blue Eagle team from 2000 to 2004 robocup code, and includes the team co-ordination between decision-making and individual documents
BP
- 实现了BP网络的类描述，可以根据自己的需要，直接调用其中的相关函数，完成BP运算-BP network achieved the class descr iptions can be according to their own needs, direct calls to one of the correlation function, the completion of BP operations
Experiment_Guidance2
- 合肥工业大学2D仿真机器人足球赛实验详解，内容很丰富，-Hefei University of Technology Robot Soccer Simulation 2D experiments Xiang Jie, content is very rich,
k_means
- k-nearest 聚类算法,用最短距离计算一组数据的聚类算法-k-nearest clustering
psa-book-soucecode
- 本书系统地介绍了微粒群算法，并附C语言源代码。-This book systematically introduces the particle swarm algorithm, together with C language source code.
yxx
- 遗传算法 解决 y=x2问题，希望对大家有所帮助-Y = x2 genetic algorithms to solve the problem, want to help everyone
apriori
- 从数据库中简易实现关联规则的挖掘，显示频繁项集，强关联规则-Easy to achieve from the database of mining association rules, indicating frequent itemsets and strong association rules
TheprincipleandapplicationofGA
- 这篇PPT对遗传算法的基本原理作了详细的介绍，看完这篇文档，相信能够对遗传算法有一个比较详尽的了解。-This PPT basic principles of genetic algorithms provided a detailed descr iption, read this document, I believe that genetic algorithms can have a more detailed understanding.
ComparingDarwinianBaldwinianandLamarckianSearch.ra
- 本篇文章对拉马克，达尔文，班德文三种进化策略进行了比较，对读者学习遗传算法时设计进化策略有很大的帮助。-This article on Lamarck, Darwin, Baldwin were compared with three kinds of evolutionary strategy, genetic algorithms the reader to study evolutionary strategy designed to help a lot.
Lamarckianevolutioninglobaloptimization
- 这篇文章是拉马克进化在全局优化中的应用，在全局优化中如何利用拉马克进化论设计进化策略，帮助实现更好的优化。-This article is Lamarckian evolution in global optimization, in the global optimization how to use the Lamarckian theory of evolution in the design evolution of strategies to help achieve a better