Digital Circuit Design Using Dynamic Fitness Functions
نویسندگان
چکیده
This paper proposes and analyses the performance of a Genetic Algorithm using two new concepts, namely a static fitness function including a discontinuity measure and a fractional-order dynamic fitness function, for the synthesis of combinational logic circuits. In both cases, experiments reveal superior results in terms of speed and convergence to achieve a solution.
منابع مشابه
Synthesis of Logic Circuits Using Fractional-Order Dynamic Fitness Functions
This paper analyses the performance of a genetic algorithm using a new concept, namely a fractional-order dynamic fitness function, for the synthesis of combinational logic circuits. The experiments reveal superior results in terms of speed and convergence to achieve a solution. Keywords— Circuit Design, Fractional-Order Systems, Genetic Algorithms, Logic Circuits.
متن کاملSynthesis of Logic Circuits Using Fractional-Order Dynamic Fitness Functions
This paper analyses the performance of a genetic algorithm using a new concept, namely a fractional-order dynamic fitness function, for the synthesis of combinational logic circuits. The experiments reveal superior results in terms of speed and convergence to achieve a solution. Keywords— Circuit Design, Fractional-Order Systems, Genetic Algorithms, Logic Circuits.
متن کاملSynthesis of Digital Circuits with Genetic Algorithms: A Fractional-Order Approach
This paper analyses the performance of a genetic algorithm using a new concept, namely a fractional-order dynamic fitness function, for the synthesis of combinational logic circuits. The experiments reveal superior results in terms of speed and convergence to achieve a solution. Keywords— Circuit Design, Fractional-Order Systems, Genetic Algorithms, Logic Circuits.
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