Artificial Immune Algorithm Source Code with Implementation

This artificial immune algorithm source code implements a complete optimization process including: 1. Parameter initialization 2. Random population generation using pop=initpop(popsize, chromlength) 3. Fault type encoding with code(1,:) for normal, code(2,:) for 50%, code(3,:) for 150%, and Unnoralcode for measured 188% fault data 4. M-iteration loop featuring: objective function calculation using Euclidean distance [objvalue]=calobjvalue(pop,i), fitness evaluation fitvalue=calfitvalue(objvalue), selection operation newpop=selection(pop,fitvalue), crossover newpop=crossover(newpop,pc,k), and mutation newpop=mutation(newpop,pm)