MATLAB Algorithm for Artificial Immune Systems

The MATLAB algorithm source code for artificial immune systems mentioned in this document is extensively applied in the field of artificial intelligence and holds substantial educational significance. This algorithm demonstrates unique advantages in solving complex problems and simulating immune system mechanisms. By studying the MATLAB algorithm source code, developers can deeply understand the principles and applications of artificial immune systems, thereby expanding their knowledge and skills in artificial intelligence. The implementation typically includes key components such as antibody-antigen recognition mechanisms, immune network modeling, and clonal selection algorithms. Furthermore, learning this source code helps master programming techniques and applications of optimization algorithms, providing strong support and guidance for research and development in artificial intelligence. The code often features modular design with functions for population initialization, affinity calculation, mutation operations, and memory cell maintenance, demonstrating practical implementations of immune-inspired optimization approaches.