Algorithm 2 PSO

Input: the parameters M, N,$\delta$, $c_1$ and $c_2$ Begin S1: initialize $x_i\left(t\right)$and $v_i\left(t\right)$ randomly,$0<i\le M$, iterative times t = 1; S2: compute $f\left(i\right) ,0<i\le M$, update $p_i\left(t\right)$ and $p_g\left(t\right)$, if it satisfies (t > N or precision$\le \delta$), then go to step S4; otherwise, go to step S3; S3: update $x_i\left(t\right)$and $v_i\left(t\right)$according to Equation (1), iterative times t = t + 1; go to step S2; S4: output the optimized results. End