Publication Details
Evolutionary Digital Circuit Design with Fast Candidate Solution Establishment in Field Programmable Gate Arrays
Glette Kyrre
Torresen Jim, prof. Dr. Ing.
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY)
evolutionary design, mutation, reconfiguration, image filters, Zynq.
Field programmable gate arrays (FPGAs) are a popular platform for evolving
digital circuits. FPGAs allow to be reconfigured partially which provides
a natural way of establishing candidate solutions. Recent research focuses on the
hardware implementation of evolutionary design platforms. Several approaches were
developed for effective implementation of candidate solutions in FPGAs. In this
paper a new mutation operator is proposed for evolutionary algorithms. The
chromosome representing the candidate solution is mutated in such a way that only
one configuration frame is required for establishing the mutated candidate
solution in hardware. The experimental results confirmed that the reduced number
of configuration frames and mutations at lower level of granularity ensure faster
evolution, generation of more candidate solutions in a given time and solutions
with better quality.
@inproceedings{BUT111483,
author="Roland {Dobai} and Kyrre {Glette} and Jim {Torresen} and Lukáš {Sekanina}",
title="Evolutionary Digital Circuit Design with Fast Candidate Solution Establishment in Field Programmable Gate Arrays",
booktitle="2014 IEEE International Conference on Evolvable Systems Proceedings",
year="2014",
pages="85--92",
publisher="Institute of Electrical and Electronics Engineers",
address="Piscataway",
doi="10.1109/ICES.2014.7008726",
isbn="978-1-4799-4480-4",
url="http://dx.doi.org/10.1109/ICES.2014.7008726"
}