Learning the affinity measure in real and artificial immune systems

The paper considers the affinity measures to be adapted to varying requirements of artificial immune system functioning in dynamic changing world. It shown that the affinity measure could be learned by standard evolution procedure. Simulation experiments with two real world data sets indicate effectiveness of the suggested approach.