Artificial Immune Clonal Selection Algorithm: A Novel Intelligent Optimization Approach

The Artificial Immune Clonal Selection Algorithm represents a relatively new intelligent algorithm that shares fundamental structural similarities with genetic algorithms. The following source code implements this algorithm specifically designed for network node grouping and scheduling problems, featuring clonal expansion, affinity maturation, and selection mechanisms to optimize solution quality.