The Virtual Programmable Logic Device, a Novel Machine Learning Architecture
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{borrett:2024:CEC,
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author = "Fraser Borrett and Mark Beckerleg",
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title = "The Virtual Programmable Logic Device, a Novel Machine
Learning Architecture",
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booktitle = "2024 IEEE Congress on Evolutionary Computation (CEC)",
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year = "2024",
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editor = "Bing Xue",
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address = "Yokohama, Japan",
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month = "30 " # jun # " - 5 " # jul,
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming, Performance
evaluation, Multiplexing, Legged locomotion,
Evolutionary robotics, Programmable logic devices,
Artificial neural networks, Machine learning, virtual
programmable logic device, artificial neural network,
evolvable hardware, evolutionary robots, hexapod robot,
robot gait",
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isbn13 = "979-8-3503-0837-2",
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DOI = "doi:10.1109/CEC60901.2024.10612129",
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abstract = "This paper introduces a novel architecture for robotic
control, called a Virtual Programmable Logic Device
(VPLD) where the operation of the device can be
dynamically configured using machine learning methods.
The VPLD is based on the structure of a Programable
Logic Device (PLD) comprising of a two-dimensional
feed-forward array of function blocks, with each block
containing multiplexers and function elements. However,
the VPLD is implemented in software rather than
hardware allowing the VPLD to be run on a CPU based
system, such as PC's and ARM based embedded systems.
The operation of the VPLD is determined by a
configuration bitstream which configures the
multiplexers (routing) and function elements of each
block. A genetic algorithm is used to evolve the
configuration bitstream to produce the walking gait of
a hexapod robot. The controller performance and the
evolutionary efficiency of the VPLD are compared with
an evolved artificial neural network (ANN), and an
evolvable hardware (EHW) device. It was found the VPLD
and ANN had similar controller performance and
evolutionary efficiency, while the EHW had a comparable
controller performance however its evolutionary
efficiency was poor. It is shown that the VPLD is a
viable alternative to an ANN for evolutionary robotic
control.",
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notes = "also known as \cite{10612129}
WCCI 2024",
- }
Genetic Programming entries for
Fraser Borrett
Mark Beckerleg
Citations