A Faster 2D Technique for the design of Combinational Digital Circuits Using Genetic Algorithm
Data(s) |
06/08/2014
06/08/2014
03/01/2012
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Resumo |
Combinational digital circuits can be evolved automatically using Genetic Algorithms (GA). Until recently this technique used linear chromosomes and and one dimensional crossover and mutation operators. In this paper, a new method for representing combinational digital circuits as 2 Dimensional (2D) chromosomes and suitable 2D crossover and mutation techniques has been proposed. By using this method, the convergence speed of GA can be increased significantly compared to the conventional methods. Moreover, the 2D representation and crossover operation provides the designer with better visualization of the evolved circuits. In addition to this, a technique to display automatically the evolved circuits has been developed with the help of MATLAB Power, Signals, Controls and Computation (EPSCICON), 2012 International Conference on Cochin University of Science and Technology |
Identificador | |
Idioma(s) |
en |
Publicador |
IEEE |
Palavras-Chave | #GeneticAlgorithm #evolvablehardware #combinational digital circuits #2D crossover #2D mutation |
Tipo |
Article |