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International Conference on Evolvable Systems

ICES 2003: Evolvable Systems: From Biology to Hardware pp 398–409Cite as

Use of Particle Swarm Optimization to Design Combinational Logic Circuits

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2606))

Abstract

This paper presents a proposal based on binary particle swarm optimization to design combinational logic circuits at the gatelevel. The proposed algorithm is validated using several examples from the literature, and is compared against a genetic algorithm (with integer representation), and against human designers who used traditional circuit design aids (e.g., Karnaugh Maps). Results indicate that particle swarm optimization may be a viable alternative to design combinational circuits at the gate-level.

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References

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Author information

Authors and Affiliations

  1. Depto. Ing. Eléctrica, Sección de Computación Av. Instituto Politécnico Nacional No. 2508, CINVESTAV-IPN, Evolutionary Computation Group, Col. San Pedro Zacatenco, 07300, México, D.F., Mexico

    Carlos A. Coello Coello & Erika Hernández Luna

  2. CIMAT, Area de Computación, Callejón Jalisco s/n Mineral de Valenciana, Guanajuato, 36240, Guanajuato, Mexico

    Arturo Hernández Aguirre

Authors
  1. Carlos A. Coello Coello
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  2. Erika Hernández Luna
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  3. Arturo Hernández Aguirre
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Editor information

Editors and Affiliations

  1. The Department of Electronics, The University of York, YO10 5DD, Heslington, York, United Kingdom

    AAndy M. Tyrrell

  2. Department of Computer and Information Science, The Norwegian University of Science and Technology, Sem Sælands Vei, 7491, Trondheim, Norway

    Pauline C. Haddow

  3. Department of Informatics, University of Oslo, P.O. Box 1080, 0316, Blindern, Oslo, Norway

    Jim Torresen

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© 2003 Springer-Verlag Berlin Heidelberg

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Coello Coello, C.A., Luna, E.H., Aguirre, A.H. (2003). Use of Particle Swarm Optimization to Design Combinational Logic Circuits. In: Tyrrell, A.M., Haddow, P.C., Torresen, J. (eds) Evolvable Systems: From Biology to Hardware. ICES 2003. Lecture Notes in Computer Science, vol 2606. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36553-2_36

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  • DOI: https://doi.org/10.1007/3-540-36553-2_36

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00730-2

  • Online ISBN: 978-3-540-36553-2

  • eBook Packages: Springer Book Archive

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