中文说明：
该资源包含了多种粒子群算法的代码，标准的粒子群算法以及改进的粒子群算法的代码，并且将改进的粒子群算法（社会粒子群算法）应用在无线传感器网络的覆盖的优化问题中，这里有针对不同的感知模型，不同的节点覆盖度进行了仿真实验的代码。从而可以看出社会粒子群算法在优化中比标准的粒子群算法效果更好。
English Description：
This resource contains the code of a variety of particle swarm optimization algorithm, standard particle swarm algorithm and improved particle swarm algorithm, and applies the improved particle swarm algorithm (SOCIAL particle swarm algorithm) to the coverage optimization problem of wireless sensor networks. Here are the code of simulation experiments for different sensing models and different node coverage. It can be seen that the social particle swarm optimization algorithm is better than the standard particle swarm optimization algorithm in the optimization.