Performance Analysis of an Improved Immune Genetic Algorithm

To the draw back had by immune genetic algorithm based on informative entropy and Euclidean distance,an improved immune genetic algorithm is proposed.The algorithm redefined antibody similarity and expectations reproductive rate,which proposed a new strategy to maintain antibody group diversity.Compared to D-IGAE,IGAE,GAES,the algorithm can converge to the global optimum at a quicker rate and little fluctuate.