Applications des systèmes immunitaires artificiels

This cluster of papers explores the concept of artificial immune systems, drawing inspiration from the biological immune system to develop computational models for tasks such as pattern recognition, optimization, intrusion detection, and anomaly detection. The papers cover topics such as clonal selection algorithms, negative selection algorithms, dendritic cells, self-nonself discrimination, and their applications in various fields.