Abstract:Artificial immune is another research focus in artificial
intelligence after neural networks, fuzzy logic and evolutionary
computation. However, the complete theoretical system in artificial
immune is not proposed yet, which hinders its further development.
In this paper, Holland's schema theorem is applied to artificial
immune, and the impacts of operators in artificial immune
optimization algorithms on schema survival and population diversity
are analyzed. Therefore, the schema theorem based on artificial
immune is proposed and proved, and is validated in the experiments,
which provides the theoretical basis for the designs and
improvements of operators in artificial immune algorithms.
Xin Xiao;Tao Li. Study of Artificial Immune Based Schema Theorem[J]. , 2014, 11(11): 3663-3671.
Xin Xiao;Tao Li. Study of Artificial Immune Based Schema Theorem. , 2014, 11(11): 3663-3671.