A Comparison of a Digital and Floating-Point Virtual Programmable Logic Device and an Artifical Neural Network Evolved for Robotic Navigation
Created by W.Langdon from
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- @InProceedings{borrett:2024:CEC2,
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author = "Fraser Borrett and Mark Beckerleg",
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title = "A Comparison of a Digital and Floating-Point Virtual
Programmable Logic Device and an Artifical Neural
Network Evolved for Robotic Navigation",
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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, Program
processors, Navigation, Programmable logic devices,
Artificial neural networks, Evolutionary computation,
Software, Hardware, Virtual Programmable Logic Device,
Evolvable Hardware, Artificial Neural Network, Robotic
Navigation, Genetic Algorithm",
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isbn13 = "979-8-3503-0837-2",
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DOI = "doi:10.1109/CEC60901.2024.10612180",
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abstract = "Two novel architectures, the digital and floatingpoint
virtual programmable logic device (VPLD) are compared
with an artificial neural network, evolved for the
robotic navigational tasks of obstacle avoidance and
light following for a two wheeled robot. The VPLD is
based on a programmable logic device but is coded in
software rather than in hardware. This allows the VPLD
to be implemented on CPUs allowing it to be run on a
wide range of platforms including PCs, mobile phones
and ARM processors. The function of the VPLD is
governed by a configuration bitstream which can be
evolved by evolutionary computation. It was found that
the digital and floating-point VPLDs performed well
against the ANN in the navigational tasks, making the
VPLD a viable alternative to an ANN for robotic
navigation.",
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notes = "also known as \cite{10612180}
WCCI 2024",
- }
Genetic Programming entries for
Fraser Borrett
Mark Beckerleg
Citations