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Parallel Implementation of Particle Swarm Optimization on FPGA

Alexandre L. X. Da Costa, Caroline A. D. Silva, Matheus Torquato Orcid Logo, Marcelo A. C. Fernandes

IEEE Transactions on Circuits and Systems II: Express Briefs, Volume: 66, Issue: 11, Pages: 1875 - 1879

Swansea University Author: Matheus Torquato Orcid Logo

Abstract

This brief proposes a parallel implementation, with fixed point, of the particle swarm optimization (PSO) algorithm on field-programmable gate array (FPGA). Results associated with the processing time and area occupancy on FPGA for several numbers of particles and dimensions were analyzed. Studies c...

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Published in: IEEE Transactions on Circuits and Systems II: Express Briefs
ISSN: 1549-7747 1558-3791
Published: Institute of Electrical and Electronics Engineers (IEEE) 2019
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa52618
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Abstract: This brief proposes a parallel implementation, with fixed point, of the particle swarm optimization (PSO) algorithm on field-programmable gate array (FPGA). Results associated with the processing time and area occupancy on FPGA for several numbers of particles and dimensions were analyzed. Studies concerning the accuracy of the PSO response for the optimization problem using the Rastrigin function were also analyzed for the hardware implementation. The project was developed on the Virtex-6 xc6vcx240t 1ff1156 FPGA.
Issue: 11
Start Page: 1875
End Page: 1879