Lee, S Kim, E Song, E Park, M 2024-01-21T05:01:20Z 2024-01-21T05:01:20Z 2021-09-04 2005-06 0302-9743 https://pubs.kist.re.kr/handle/201004/136423 A novel immunotronic approach to fault detection in hardware based on symbiotic evolution is proposed in this paper. In the immunotronic system, the generation of tolerance conditions corresponds to the generation of antibodies in the biological immune system. In this paper, the principle of antibody diversity, one of the most important concepts in the biological immune system, is employed and it is realized through symbiotic evolution. Symbiotic evolution imitates the generation of antibodies in the biological immune system more than the standard genetic algorithm(SCA) does. It is demonstrated that the suggested method outperforms the previous immunotronic methods with less running time. The suggested method is applied to fault detection in a decade counter (typical example of finite state machines) and MCNC finite state machines and its effectiveness is demonstrated by the computer simulation. English SPRINGER-VERLAG BERLIN TOLERANCE A new immunotronic approach to hardware fault detection using symbiotic evolution Article 1 ARTIFICIAL INTELLIGENCE AND KNOWLEDGE ENGINEERING APPLICATIONS: A BIOINSPIRED APPROACH, PT 2, PROCEEDINGS, v.3562, pp.133 - 142 ARTIFICIAL INTELLIGENCE AND KNOWLEDGE ENGINEERING APPLICATIONS: A BIOINSPIRED APPROACH, PT 2, PROCEEDINGS 3562 133 142 scie scopus 000230386700014 2-s2.0-26444432310 Computer Science, Artificial Intelligence Computer Science, Theory & Methods Computer Science Article; Proceedings Paper TOLERANCE immunotronic system hardware fault detection tolerance conditions antibody diversity symbiotic evolution