Immune Algorithm Based on Immune Network Model

This document presents the source code implementation of an immune algorithm based on the immune network model, developed using MATLAB programming. The provided code serves as a reference implementation that demonstrates key algorithmic components including antigen recognition, antibody generation, immune network dynamics, and affinity calculations. While this material is intended for reference purposes, users should verify the program's validity and accuracy for their specific applications. We recommend that when studying and applying this algorithm, users should thoroughly understand the underlying concepts and principles, particularly the immune network mechanisms that simulate biological immune system behaviors. The implementation includes functions for population initialization, fitness evaluation, clone selection, and network suppression mechanisms. We encourage researchers to adapt these algorithmic approaches to practical problems while considering appropriate parameter tuning and validation procedures. We wish you productive learning and successful applications of this immune algorithm framework!