Algorithm 5 IA

Input: the parameters M, N,$\delta$,$P_c$, $P_m$ Begin S1: initialize M antibodies $x_i\left(t\right)$ randomly,$0<i\le M$, iterative times t = 1; S2: compute $f\left(i\right) ,0<i\le M$, update $p_g\left(t\right)$; if it satisfies (t > N or precision$\le \delta$), then go to step S4; otherwise, go to step S3; S3: compute the affinity, the concentration and activity degree according to Equations (11), (12) and (13); the selection operation is executed by the roulette method to choose antibodies with large activity degree, and then execute crossover and mutation operations according to the probabilities $P_c$ and $P_m$, respectively; iterative time t = t + 1, go to step S2; S4: output the optimized results. End