遗传算法工具箱C++，这为Linux系统设计的，现在在。

模拟退火c++的算法程序，广泛应用于最优化、运筹学、人工智能、遗传算法等领域，具有很好的学习价值-simulated annealing algorithm procedures, the most widely used optimization, operations research, artificial intelligence, genetic algorithms and other areas of learning is very good value

遗传算法演示程序-GA Demonstration Program

粒子群算法工具箱，有DEMO程序，可以对16中常见函数测试，并附有神经元网络的训练算法-Particle swarm optimization toolbox, there are DEMO program, you can test for 16 common functions, together with the training algorithm for neural networks

国外的一个A*算法演示，带源代码。作为算法参考非常好-abroad an A* algorithm demonstration, with the source code. As a very good reference algorithm

建立Fuzzy模型－序列预测matlab代码-Fuzzy model-building- sequence prediction matlab code

本程序为基于工艺参数优化的改进遗传算法程序-based on the procedures for the optimization of process parameters improved genetic algorithm

详细介绍了人工智能在故障诊断中的应用 有实例-Details of the artificial intelligence in fault diagnosis are examples of

本程序是基本的MATLB退火模拟算法，主要应用于函数优化，效果较好。-This procedure is a basic MATLB simulated annealing algorithm, mainly used in function optimization, better.

Solving Traveling Sales Man Problem by the Algorithm of Simulated Annealing. Src only. 100 free of compile error. Including 2 test cases.-Solving Traveling Sales Man Problem by the Algorithm of Simulated Annealing. Src only. 100 free of compile error. Including 2 test cases.

新型模拟退火算法解决TSP优化问题。自能退火。可用于大多数情况下的优化问题。-New simulated annealing algorithm to solve TSP optimization problem. Zineng annealing. Can be used in most cases the optimization problem.