PSO

Pascal Programs Printed in GENETIC ALGORITHMS IN SEARCH, OPTIMIZATION, AND MACHINE LEARNING by David E. Goldberg -Pascal Programs Printed in GENETIC ALGORITHMS IN SEARCH, OPTIMIZATION, AND MACHINE LEARNING by David E. Goldberg

用模拟退火算法解决TSP问题，在C运行环境中-TSP with ant colony algorithm to solve the problem in the C runtime environment

模式识别中的寻路算法：A星算法的实现及简单应用-Pattern Recognition routing algorithm: A Star algorithm and a simple application

C＋＋编写的机器学习算法 Lemga is a C++ package which consists of classes for several learning models and generic algorithms for optimizing (training) the models-prepared by the machine learning algorithm Lemga C is a package which con sists of classes for several learning models an d generic algorithms for optimizing (training ) the models

一个蚁群算法，大家很想要得东东，共享给大家了。-an ant colony algorithm, we want to fine Eastern, we had to share.

人工智能GA问题的C语言实现，已经调试通过，含源程序和实验报告-the C language, debugging, and experiment with the source report

本例是本人写的遗传算法的最简单的一个实现，并且带有一个说明文档。用C语言编写，在TurborC中调试，由于当时在随机数产生上没有种种子，所以极易收敛，有兴趣可以种上种子试一下。-the cases I wrote is the most genetic algorithm to achieve a simple, and with a documented. C language, in which TurborC debugging, because the random number generator not all sons, so vulnerable convergence are interested can plant seeds try.

本程序是数据挖掘中的关联规则模型中著名的Aprior算法的VC实现程序，可用于知识发现、数据挖掘、人工智能、模式识别等领域（请先解压文件）-The code is the VC implementation of the well-known Aprior algorithm in Association Rule Model of Data Mining field, can be used in Knowledge Discovery, Data Mining, AI, Pattern Recognition and so on.(Please unzip the file first)

利用 免疫算法求解TSP问题 可以精确求出50个城市-Using immune algorithm for solving TSP problems can be accurately calculated 50 cities

采用面向负荷控制技术，用面向对象思想与快速原型法的设计方法，在SQL SERVER数据库中实现模型及数据的存储。算法尽量简单实用，时间复杂性及空间复杂性必须在实际环境允许的范围之内。-used for load control technology, using the object-oriented thinking and rapid prototyping of the system, SQL Server database implementation model and data storage. As simple and practical algorithm, time and space complexity of complexity in a realistic environment to the extent permitted within.