Immune Algorithm Based on Evolution of Antigen

The antigen corresponding to problem was analyzed described with immune algorithm based on evolution of antigen, to create initial antibody crowd, and to calculate density ratio and breed rate value of antibody, and to gain the best antibody on time measure. Taking measuring data optimization handling of multi target track for airborne radar as an example, its deviation was evolved for antibody. When satisfied restraint condition, right now data was exported. When target moved again continuously, the information of time was used as antigen to optimize search target, to realize target reliable distinguishing and capturing efficiently.