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| Abstract: | 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 |
| Description: | Power, Signals, Controls and Computation (EPSCICON), 2012 International Conference on |
| URI: | http://dyuthi.cusat.ac.in/purl/4525 |
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| A Faster 2D Tec ... Using GeneticAlgorithm.pdf | (190.8Kb) |
| Abstract: | This paper presents a new approach to the design of combinational digital circuits with multiplexers using Evolutionary techniques. Genetic Algorithm (GA) is used as the optimization tool. Several circuits are synthesized with this method and compared with two design techniques such as standard implementation of logic functions using multiplexers and implementation using Shannon’s decomposition technique using GA. With the proposed method complexity of the circuit and the associated delay can be reduced significantly |
| Description: | International Conference on Microelectronics, Communication and Renewable Energy (ICMiCR-2013) |
| URI: | http://dyuthi.cusat.ac.in/purl/4528 |
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| An Improved Des ... sing Genetic Algorithm.pdf | (252.7Kb) |
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