Pseudo Random Number Generation Based on Genetic Algorithm Application

Author(s):  
V. Pushpalatha ◽  
K. B. Sudeepa ◽  
H. N. Mahendra
Author(s):  
Sudeepa Keregadde Balakrishna ◽  
Sannidhan Manjaya Shetty ◽  
Jason Elroy Martis ◽  
Balasubramani Ramasamy

2017 ◽  
Vol 28 (06) ◽  
pp. 1750078 ◽  
Author(s):  
Kamalika Bhattacharjee ◽  
Dipanjyoti Paul ◽  
Sukanta Das

This paper investigates the potentiality of pseudo-random number generation of a 3-neighborhood 3-state cellular automaton (CA) under periodic boundary condition. Theoretical and empirical tests are performed on the numbers, generated by the CA, to observe the quality of it as pseudo-random number generator (PRNG). We analyze the strength and weakness of the proposed PRNG and conclude that the selected CA is a good random number generator.


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