中文说明：在这段代码中，我申请的二进制粒子群算法从一组米的传感器选择ķ传感器尽量减少错误的目的的问题参数estimation.applying一般的二进制粒子群算法（BPSO）的传感器选择问题，我们也提出了具体的改进这种基于人口的启发式算法，即，我们利用周期性移位来构造初始种群的成员，具有降低平均收敛时间的意图。所提出的BPSO为传感器选择问题在计算上是高效的，其性能是通过模拟结果验证。
English Description：
In this code, I apply the binary particle swarm optimization to the problem of selecting k sensors from a set of m sensors for the purpose of minimizing the error inparameter estimation.applying the general binary particle swarm optimization (BPSO) to the sensor selection problem, we also present a specific improvementto this population-based heuristic algorithm, namely, we use cyclical shifts to construct the members of the initial population,with the intention of reducing the average convergence time.The proposed BPSO for the sensor selection problem is computationally efficient, and its performance is verified through simulation results.