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.

Meeting Name

International Joint Conference on Neural Networks, 2003

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Combinational Circuits; Combinatorial Logic Circuit; Computational Intensity; Digital Circuits; Genetic Algorithm; Genetic Algorithms; Hardware Evolution; Human Designer; Particle Swarm Optimization; Social Behavior

International Standard Serial Number (ISSN)

1098-7576

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2003 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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