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：
The resource contains a variety of particle swarm optimization code, standard particle swarm optimization algorithm and improved particle swarm optimization algorithm code, and the improved particle swarm optimization algorithm (SOCIAL particle swarm optimization) is applied in the coverage optimization of wireless sensor networks, here is the code of simulation experiment for different perception models and different node coverage. So we can see that the social particle swarm optimization algorithm is better than the standard particle swarm optimization algorithm.