Hybrid Model Based on Artificial Immune System and Cellular Automata
The hybridization of artificial immune system with
cellular automata (CA-AIS) is a novel method. In this hybrid model,
the cellular automaton within each cell deploys the artificial immune
system algorithm under optimization context in order to increase its
fitness by using its neighbor-s efforts. The hybrid model CA-AIS is
introduced to fix the standard artificial immune system-s weaknesses.
The credibility of the proposed approach is evaluated by simulations
and it shows that the proposed approach achieves better results
compared to standard artificial immune system.
[1] L.N. DeCastro and F.J. VonZuben, "Learning and Optimization Using
the Clonal Selection Principle".2002 IEEE Transactions on Evolutionary
Computation, vol. 6, pp. 239-251
[2] L.N. DeCastroand and F.J. VonZuben, "An Artificial Immune Network
for Data Analysis".2001, In Data Mining. A Heuristic Approach
[3] S. Bachmayer,"Artificial Immune Systems: soft computing", 2006, vol.
7, pp. 69-86
[4] J. Timmis, "An Introduction to Artificial Immune Systems" 2004,
ICARIS, vol. 7
[5] F. Fredkin "Digital machine A informational process based on reversible
cellular automata". 2009, Physica D 45, 254-270 (1990)
[6] N.H. Packard and S, Wolfram,"Two-dimensional cellular automata".
1985, Stat. Phys. 38, 901-946.
[7] M Mitchell, "Computation in cellular automata: A selected review":,
Technical Report, Santa Fe Institute, Santa Fe, NM, USA, 1996,
September
[8] J, Kari, "Reversability of 2D cellular automata is undecidable". 1990,
Physica D 45, 379-385
[9] H, Beigy and M..R. Meybodi, "Cellular learning automata based
dynamic channel assignment algorithms". International Journal of
Computational Intelligence and Applications, 2009, Vol. 8, No. 3 87-
314, Imperial College Press
[10] S. Wolfram, "Theory and Applications of Cellular Automata": 1986,
Advanced Series on Complex Systems, Singapore: World Scientific
Publication
[11] Cellular Automata
Llinks,http://www.soc.surrey.ac.uk/research/simsoc/ca.ht
[1] L.N. DeCastro and F.J. VonZuben, "Learning and Optimization Using
the Clonal Selection Principle".2002 IEEE Transactions on Evolutionary
Computation, vol. 6, pp. 239-251
[2] L.N. DeCastroand and F.J. VonZuben, "An Artificial Immune Network
for Data Analysis".2001, In Data Mining. A Heuristic Approach
[3] S. Bachmayer,"Artificial Immune Systems: soft computing", 2006, vol.
7, pp. 69-86
[4] J. Timmis, "An Introduction to Artificial Immune Systems" 2004,
ICARIS, vol. 7
[5] F. Fredkin "Digital machine A informational process based on reversible
cellular automata". 2009, Physica D 45, 254-270 (1990)
[6] N.H. Packard and S, Wolfram,"Two-dimensional cellular automata".
1985, Stat. Phys. 38, 901-946.
[7] M Mitchell, "Computation in cellular automata: A selected review":,
Technical Report, Santa Fe Institute, Santa Fe, NM, USA, 1996,
September
[8] J, Kari, "Reversability of 2D cellular automata is undecidable". 1990,
Physica D 45, 379-385
[9] H, Beigy and M..R. Meybodi, "Cellular learning automata based
dynamic channel assignment algorithms". International Journal of
Computational Intelligence and Applications, 2009, Vol. 8, No. 3 87-
314, Imperial College Press
[10] S. Wolfram, "Theory and Applications of Cellular Automata": 1986,
Advanced Series on Complex Systems, Singapore: World Scientific
Publication
[11] Cellular Automata
Llinks,http://www.soc.surrey.ac.uk/research/simsoc/ca.ht
@article{"International Journal of Information, Control and Computer Sciences:63386", author = "Ramin Javadzadeh and Zahra Afsahi and MohammadReza Meybodi", title = "Hybrid Model Based on Artificial Immune System and Cellular Automata", abstract = "The hybridization of artificial immune system with
cellular automata (CA-AIS) is a novel method. In this hybrid model,
the cellular automaton within each cell deploys the artificial immune
system algorithm under optimization context in order to increase its
fitness by using its neighbor-s efforts. The hybrid model CA-AIS is
introduced to fix the standard artificial immune system-s weaknesses.
The credibility of the proposed approach is evaluated by simulations
and it shows that the proposed approach achieves better results
compared to standard artificial immune system.", keywords = "Artificial Immune System, Cellular Automat,neighborhood", volume = "5", number = "11", pages = "1454-4", }