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evolutionary multiobjective optimization

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Design of combinational logic circuits through an evolutionary multiobjective optimization approach
CARLOS A. COELLO COELLO, ARTURO HERNÁNDEZ AGUIRRE
Journal:

AI EDAM / Volume 16 / Issue 1 / January 2002

Published online by Cambridge University Press:

17 May 2002, pp. 39-53
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In this paper, we propose a population-based evolutionary multiobjective optimization approach to design combinational circuits. Our results indicate that the proposed approach can significantly reduce the computational effort required by a genetic algorithm (GA) to design circuits at a gate level while generating equivalent or even better solutions (i.e., circuits with a lower number of gates) than a human designer or even other GAs. Several examples taken from the literature are used to evaluate the performance of the proposed approach.