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Fractional Dynamic Fitness Functions for GA-based Circuit Design

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This paper proposes and analyses the performance of a Genetic Algorithm (GA) using two new concepts, namely a static fitness function including a discontinuity measure and a fractional-order dynamic fitness function. The GA is adopted for the synthesis of combinational logic circuits. In both cases, experiments reveal superior results in terms of speed and convergence to achieve a solution.

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Fractional calculus Genetic algorithms Logic circuit design

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