Reinforcement Learning Based Artificial Immune Classifier

Pseudocode 1

The pseudocode of clonal selection algorithm.

Start

(1) Ag determination antigen set

(2) k the number of steps, 𝑁 population size

(3) ab_𝑏 the number of antibody for cloning

(4) ab_𝑘 the number of low similarity elements for end of iteration

(5) P, randomly production of 𝑛 sized population

(6) 𝑗=0;

(7) While 𝑗<𝑔 do

(8)    similarity (P, Ag) ← computation between antibody and antigen

(9)     P₁← Selection(P, ab_𝑏) //selection of best 𝑛1 antibody for cloning

(10)    C ← Cloning(P₁, Similarity(P₁)) //clones from P₁

(11)     C₁← Mutation(C, Similarity(C)) //Mutation for C by similarity

(12)    Similarity(C₁, Aj) ← similarity between clone set(C₁) and antigen

(13)    M ← Selection(C₁)

(14)    P ← Displacement(P, at_𝑘)

(15)     𝑗←𝑗+1

  End while