VC++ through OnGetNetworkCardType () Function Access Card Model.

链接分析代码，含hits、pagerank等算法-Link analysis code, containing hits, pagerank algorithm, etc.

一个非常炫的工具栏类，用来制作酷酷的界面-a very Xuan toolbar category, producing grumbling but the interface

利用这个程序: 1.可以监视在你的电脑运行的程序, 把在你的电脑运行过的程序的时间和名字记录下来 2.可以阻止你规定的禁用程序的执行, 比如不让玩游戏。 3.这个程序需要加入注册表, 在系统启动时就运行, 达到监视的目的。注册表大概都不陌生，就是这里: HKEY_LOCAL_MACHINESOFTWAREMicrosoftWindowsCurrentVersionRun-use of this procedure : 1. You can monitor the computer running program, on your computer one of the procedures of the time and record the names of two. You can stop the implementation of the banned procedures, such as not playing games. 3. This procedure needs to join the registry, the system started running on to achieve the purpose of surveillance. The registry probably not unfamiliar, is here : HKEY_LOCAL_MACHINE SOFTWARE Microsoft Windows CurrentVersion Run

fastreport4 new version, update for design

Macintosh-like Progress Control

一个图标编辑器源代码 -an icon editor source code

工業用WINDOWS開發OPCClient源碼。經過測試和現場使用，正常獲得OPC Server列表信息，沒有tag的數量限制，設置定時刷新讀取等。

征途服务端源码，网络下载，可用于学习研究，不可用于商业用途-ztdm

本程序是使用 TURBO C 语言BOSS窗口开发程序库的应用程序。-This is an application program developped by TURBO C and BOSS windows developping application library.

遗传算法是基于达尔文进化论的一种智能优化算法,一种可用于复杂系统优化的具有鲁棒性的搜索算法，适用于解决传统方法难以解决的复杂的、非线性问题，可广泛应用于组合优化、离散优化、工程优化等领域。旅行商问题是一种NP难的组合优化问题，具有重要的理论研究价值和实际应用背景。然而，传统遗传算法中存在有不足，需要提出新的改进的遗传算法，并应用于旅行商问题的求解。-Genetic algorithm is based on Darwin" s theory of evolution of an intelligent optimization algorithm, a complex system can be used to optimize the robustness of the search algorithm, the application of traditional methods to solve difficult and complex, nonlinear problems, can be widely used in combination optimization, discrete optimization, engineering, optimization and other fields. Traveling Salesman Problem is a NP hard combinatorial optimization problem, has important theoretical value and practical application of research background. However, the traditional genetic algorithm, there is less than the need to introduce new improved genetic algorithm, and applied for solving the traveling salesman problem.