c++编译的目标规划遗传算法，编写了较为详细的原程序，被广泛使用。...

人工智能神经网络算法的实现。注意可能由于实现方式不同而导致结果有点不一样，这是允许的。-Artificial neural network algorithm.

《游戏编程中的人工智能技术》一书中4，5章源代码- Game programming in artificial intelligence technology, one source book, Chapter 4,5

采用的是康力山等人确定的实验参数。 对于n个城市的旅行商问题，其参数如下： 初始温度：t0=280, 每一个温度下采用固定的迭代次数L=100n, 温度的衰减系数alpha=0.92 算法停止的准则是当相邻两个温度得到的解变化很小时算法停止。-used the Stanozolol Hill were determined by the experimental parameters. N cities for the traveling salesman problem, the parameters are as follows : initial temperature : t0 = 280, each a fixed temperature of the iteration number L = 100n, temperature attenuation coefficient alpha = 0.92 algorithm to stop the criteria when two adjacent the temperature change was very Solution Algorithm stop.

遗传算法人工生命模拟,这是一个遗传算法关于人工生命模拟的实例-Artificial Life Simulation of genetic algorithm, which is a genetic algorithm on the example of artificial life simulation

一个可自我学习的人工智能小模型，可进行训练，也可进行提问-a self-learning artificial intelligence small, and can be used for training, may also question

利用pso算法训练人工神经网络的源代码。-PSO algorithm for the use of training artificial neural network source code.

< 神经网络设计源代码>>一书的源代码。-err

微分进化算法DE（Differential Evolution）由Storn和Price等学者于1995年首先提出。它是一种基于种群优化的新智能优化方法，它已被证明在求解过程中具有高效性、收敛性、鲁棒性等优点-Differential evolution algorithm DE (Differential Evolution) by Storn and Price and other scholars in 1995, the first place. It is a species based on the optimization of the new intelligent optimization method, which has been proved in the solving process with high efficiency, convergence, robustness, etc.

兔子狐狸生态平衡模拟器，可以模拟兔子狐狸相互依存的状况。-The zoology balance simulator of rabbit and fox ,which can simulate the status of rabbit and fox depended on each other.

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