Design of combinational logic circuits through an evolutionary multiobjective optimization approach

  • Authors:
  • Carlos A. Coello Coello;Arturo Hernández Aguirre

  • Affiliations:
  • CINVESTAV-IPN, Depto. de Ingeniería Eléctrica, Sección de Computación, Av. Instituto Politécnico Nacional No. 2508, Col. San Pedro Zacatenco, México, D. F. 07300;Department of Electrical Engineering and Computer Science, Tulane University, New Orleans, LA 70118, USA

  • Venue:
  • Artificial Intelligence for Engineering Design, Analysis and Manufacturing
  • Year:
  • 2002

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Abstract

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.