The Implement Approach of Product Optimization for Variant Design Based on the Artificial Immune Algorithm

According to the requirement of rapid variant design for products, it is vital that the complicated problem is transformed into the optimization problem. On the basis of it, an effective product optimization model of variant design is established. An improved artificial immune algorithm is adopted, which simulates the protein polypeptide structure of the antibody, the clone selection principle and the concentration regulation of the immune system, and uses a new analytic approach for the similarity between the antibodies. Finally, an example is given to evaluate the performance of the proposed approach. The simulation results illustrate the effectiveness of the proposed method in variant design of products.