Evolving Digital Circuits using Particle Swarm

Author

Venu G. Gudise
Ganesh K. Venayagamoorthy, Missouri University of Science and Technology

Abstract

Particle swarm optimization (PSO) motivated by the social behavior of organisms is proposed for evolution of combinational logic circuits. Results are presented to show that PSO based evolution of digital circuits are equivalent to or even with better solutions (with minimum number of logic gates) than that of a human designer and other genetic algorithm (GA) based techniques. This PSO based approach converges faster than other approaches reported in literature using genetic algorithms and as a result the computational intensity involved in hardware evolution is reduced. Examples taken from the literature are used to evaluate the performance of the proposed PSO approach.

Recommended Citation

V. G. Gudise and G. K. Venayagamoorthy, "Evolving Digital Circuits using Particle Swarm," Proceedings of the International Joint Conference on Neural Networks, vol. 1, pp. 468 - 472, Institute of Electrical and Electronics Engineers, Sep 2003.

Department(s)

Electrical and Computer Engineering

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.

Publication Date

24 Sep 2003