MHC Regulation Based Immune Formula Discovering Algorithm (IFDA)

Abstract

After having analyzed the advantage and disadvantage of gene expression programming (GEP), this paper proposes an innovative immune formula discovering algorithm (IFDA), which is actually inspired by MHC (major histocompatibility complex) regulation principle of immune theory. In IFDA, the formula are mapped as tree structure and transformed into both constant and variation section of antibody with a depth- first mechanism while its fragment is encoded into the MHC. Using the feature of MHC regulation, IFDA provides a quick solution to discover the proper formula. Many benchmark data are used for verifying the performance of IFDA in which all results from experiments show that the IFDA can really provide better performance than GEP.