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

Author

Sotiropoulos, Dionysios ; Mathioudakis, Dimitrios ; Tsihrintzis, G.A.

Author_Institution

Dept. of Inf., Univ. of Piraeus, Piraeus, Greece

fYear

2014

fDate

7-9 July 2014

Firstpage

1

Lastpage

5

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.

Keywords

artificial immune systems; genetic algorithms; pattern classification; artificial immune resource system algorithm; evolutionary computation techniques; genetic algorithms; genetic-AIRS algorithm; hybrid classification method; Detectors; Genetics; Hip; Immune system; Metals; Organisms; Artificial immune system; Classification; Evolutionary computation; Genetic algorithm; Machine learning;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Intelligence, Systems and Applications, IISA 2014, The 5th International Conference on

Conference_Location

Chania

Type

conf

DOI

10.1109/IISA.2014.6878722

Filename

6878722