C++ Builder V5.0 AutoCAD VCL源码

OReilly - COM and .NET Component Services Source Code-OReilly- COM and. NET Component Services Source Code

系统托盘编程.压缩包有文章和源代码（来自VC知识库)-system tray program. Compressed articles and source code (VC from the knowledge base)

代码从windows向linux转换时用支的编码转换工具，在linux下转换效率没那么高，那就用一个windows版的吧，支持批量转换，代码识别-Code from windows to linux conversion with support encoding conversion tools, in the conversion efficiency under linux is not so high, it is a windows version of it in support of batch conversion, code identification

设置对话框背景图案等，将一幅图片设置为对话框的背景图。-Settings dialog box, such as wallpaper, a picture will be set to dialog background image.

包含分配DOS存储段,改变数据段空间分配,分配主存储器,从远堆中释放一块 ,重新分配主存, 改变数据段空间位置-include DOS memory allocation, data change of space allocation, distribution main memory, far from the rubble release of a redistribution of the main deposit, change of the spatial data, etc.

it consists of descriptions for openser s modules functions and important date structure. also it s my own opinion maybe not very accurate but for referrnce enough

LR(0)表的自动实现.控制台输入必须严格遵守.grammar 类的实现是本程序的关键-LR (0) to the table automatically. Console input must be strictly adhered to. Grammar category is the realization of this program the key

一个模拟生活的游戏源码-a life simulation game FOSS

用ECLIPSE编写一个简易租车行图形界面系统-ECLIPSE prepared using a simple graphical interface system rental companies

参考文章 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 article reference Darwin" s theory of evolution is based on 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 applied in combinatorial 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.