A clonal selection algorithm by using learning operator

This paper proposes a new clonal selection algorithm towards the use of an artificial immune system (AIS) to build a computer virus immune system. Inspired by the learning mechanism during the clonal selection process in biology, a learning operator was introduced into the original clonal selection algorithm. This learning operator can be used to not only incarnate the effect of the learning but also to improve the detection efficiency. Preliminary simulation experiments show this algorithm is practical and simple to use.