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Design of combinational logic circuits through an evolutionary multiobjective optimization approach

Published online by Cambridge University Press:  17 May 2002

CARLOS A. COELLO COELLO  and
ARTURO HERNÁNDEZ AGUIRRE
CARLOS A. COELLO COELLO
Affiliation:
CINVESTAV-IPN, Depto. de Ingeniería Eléctrica, Sección de Computación, Av. Instituto Politécnico Nacional No. 2508, Col. San Pedro Zacatenco, México, D. F. 07300
ARTURO HERNÁNDEZ AGUIRRE
Affiliation:
Department of Electrical Engineering and Computer Science, Tulane University, New Orleans, LA 70118, USA
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Abstract

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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.

Keywords

Circuit DesignEvolvable HardwareEvolutionary Multiobjective OptimizationGenetic AlgorithmsMultiobjective Optimization
Type
Research Article
Information
AI EDAM , Volume 16 , Issue 1 , January 2002 , pp. 39 - 53
Copyright
© 2002 Cambridge University Press