A Collection of Artificial Immune Algorithm Programs with MATLAB Implementations

The collection of artificial immune algorithm programs I acquired from foreign websites includes extensive source code implementations written in MATLAB. These programs are particularly valuable for researchers studying artificial immune algorithms, as they provide practical insights into fundamental concepts and implementation techniques. Through examining these codes, researchers can explore key algorithmic components such as antigen recognition mechanisms, antibody population initialization, affinity calculation functions, clonal selection operations, and immune memory management. The implementations demonstrate various immune-inspired optimization approaches including clonal selection algorithms, artificial immune networks, and negative selection mechanisms. These programs serve as both educational resources for understanding algorithm dynamics and reference tools for developing custom implementations, ultimately enhancing research efficiency and quality by providing tested computational frameworks.