VBNetMail

SCTP实验，实现客户端和服务器端传输数据(SCTP experiment, to achieve the client and server side data transfer)

用于无线网络编程的学习,很实用，作为初学者的入门教材还是很有用的。(Wireless network programming for learning)

该代码展示了如何利用完成端口配合异步I/O开发可扩展服务端。(The code demonstrates how to complete port with the use of asynchronous I/O can be expanded development of the server.)

SFLA算法是解决组合性优化问题的算法。它是基于集合类方法的启发式研究，这种SFLA初始化于一群虚拟集合青蛙，在池塘中跳跃，搜寻最优的食物地点。青蛙们可以被看作是具有思维的的主体。一种思维可以被看作是一个思想的集合或是文化的进化。每一种思维都是由一系列策略构成。在这种策略进化期间，青蛙的思维也在发生改变，导致了他们在面向目标时方位的改变，这种思维的变化或改变的发生，正是因为青蛙受到其他更好思想的影响。(SFLA algorithm to solve portfolio optimization problems and algorithms. It is based on the collections of the heuristic research method, which is initialized to a group of SFLA virtual collection of frogs, jumping in the pond, searching for the optimal location of food. Frogs can be seen as the main body with thinking. Can be seen as a way of thinking is a set of ideological or cultural evolution. Each type of thinking is constituted by a series of strategies. Period in the evolution of this strategy, the frog is also a change of thinking, leading to goal-oriented when they change direction, this way of thinking of the change or changes occur, because frogs are better ideas.)

说明：  用遗传算法解决vrp问题，源码加详细文档说明 很有用的哦(algorithm for multi- objective optimization. It is a very e&reg ective algorithm but has been generally criticized for its computational complexity)

这是一本百科全书式的软件构建手册，强调提高软件质量的种种实践方法，不过这个是英文版的，中文版太大了，上传不了，有需要的请联系我(This is an encyclopedic handbook of software construction, with emphasis on increasing the variety of software quality practices. But this is the English version, the Chinese version too, can upload, it is necessary to please Contact)

自己实现的telnet的服务器端和客户端源码，VC2010实现(Their implementation of Telnet server and client source code, VC2010 implementation)

百度文库下载，不用积分，经本人测试，确实可以使用的(Baidu library downloads, not points)

请让我成为会员，上串的是我编写的一个诊断专家系统的神经网络部分的代码。(let me become a member, on the string of my preparation of a diagnostic expert system the neural network part of the code.)

本文分析了粒子群优化算法的原理，研究了粒子在搜索空间飞行的轨迹，分析了使粒子群收敛的参数设置，并根据算法的特点总结了应用粒子群优化算法的步骤，给出算法中的经验参数设置.并且对每一次改进的利弊都作出了分析与对比，为再一次改进作好准备。经过多次的算法改进与实验测试，再跟据实验数据的比较，验证了本算法改进的可行性，同时应用PSO算法解决TSP问题是一种崭新的尝试.(Design and Simulation of Particle Swarm Optimization)