Chaotic logic gate: A new approach in set and design by genetic algorithm

• Published in: Chaos, solitons and fractals Vol. 77; pp. 247 - 252
• Main Authors: Beyki, Mahmood, Yaghoobi, Mahdi
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.08.2015
• Subjects: Chaotic logic gate; Genetic algorithm; Logistic map; Setting the parameter values; Logistic map; Setting the parameter values; Chaotic logic gate; Genetic algorithm
• ISSN: 0960-0779; 1873-2887
• DOI: 10.1016/j.chaos.2015.05.032

How to reconfigure a logic gate is an attractive subject for different applications. Chaotic systems can yield a wide variety of patterns and here we use this feature to produce a logic gate. This feature forms the basis for designing a dynamical computing device that can be rapidly reconfigured to become any wanted logical operator. This logic gate that can reconfigure to any logical operator when placed in its chaotic state is called chaotic logic gate. The reconfiguration realize by setting the parameter values of chaotic logic gate. In this paper we present mechanisms about how to produce a logic gate based on the logistic map in its chaotic state and genetic algorithm is used to set the parameter values. We use three well-known selection methods used in genetic algorithm: tournament selection, Roulette wheel selection and random selection. The results show the tournament selection method is the best method for set the parameter values. Further, genetic algorithm is a powerful tool to set the parameter values of chaotic logic gate.