Artificial Immune Algorithm for MATLAB Platform

This is an artificial immune algorithm program designed for the MATLAB platform, which can be used for simulation analysis of various engineering technical methods. The artificial immune algorithm is an optimization technique based on immune system principles, mimicking the interactions between antibodies and antigens to solve complex problems. The MATLAB implementation typically includes key functions such as antigen presentation, antibody generation, affinity calculation, and immune memory mechanisms. This algorithm finds widespread applications in engineering fields including power system optimization, communication network optimization, and intelligent control systems. Using this program, engineers can perform simulation analyses on different engineering methods to evaluate their performance and effectiveness. The implementation may involve MATLAB's optimization toolbox functions and custom code for population initialization, fitness evaluation, and clone selection operations. By leveraging the artificial immune algorithm, users can achieve superior optimization results and contribute to the improvement of various engineering method designs and applications through parameter tuning and constraint handling capabilities.