Genetic-AIRS: A hybrid classification method based on Genetic Algorithms and Artificial Immune Systems

Abstract

In this paper, we develop and evaluate a hybrid classification method based on a combination of Artificial Immune Systems and Genetic Algorithms. Specifically, the new algorithm, called Genetic-AIRS, is a combination of the Artificial Immune Resource System (AIRS) algorithm with well-known evolutionary computation techniques. As a result, Genetic-AIRS is executed globally, in contrast with AIRS which is executed locally. We compare to AIRS and identify advantages and disadvantages of Genetic-AIRS and perform an experimental evaluation on various publicly available datasets.