Tag-based Module Regulation for Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{lalejini:2022:GECCOhop,
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author = "Alexander Lalejini and Matthew Moreno and
Charles Ofria",
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title = "Tag-based Module Regulation for Genetic Programming",
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booktitle = "Proceedings of the 2022 Genetic and Evolutionary
Computation Conference Companion",
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year = "2022",
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editor = "Marcus Gallagher",
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pages = "25--26",
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address = "Boston, USA",
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series = "GECCO '22",
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month = "9-13 " # jul,
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organisation = "SIGEVO",
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publisher = "Association for Computing Machinery",
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publisher_address = "New York, NY, USA",
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keywords = "genetic algorithms, genetic programming, tag-based
referencing, automatic program synthesis, gene
regulation, SignalGP",
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isbn13 = "978-1-4503-9268-6/22/07",
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DOI = "doi:10.1145/3520304.3534060",
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video_url = "https://vimeo.com/721571770",
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abstract = "This Hot-off-the-Press paper summarizes our recently
published work, {"}Tag-based regulation of modules in
genetic programming improves context-dependent problem
solving,{"} published in Genetic Programming and
Evolvable Machines [1]. We introduce and experimentally
demonstrate tag-based genetic regulation, a genetic
programming (GP) technique that allows programs to
dynamically adjust which code modules to express. Tags
are evolvable labels that provide a flexible naming
scheme for referencing code modules. Tag-based
regulation extends tag-based naming schemes to allow
programs to {"}promote{"} and {"}repress{"} code
modules to alter module execution patterns. We find
that tag-based regulation improves problem-solving
success on problems where programs must adjust how they
respond to current inputs based on prior inputs;
indeed, some of these problems could not be solved
until regulation was added. We also identify scenarios
where the correct response to an input does not change
over time, rendering tag-based regulation an
unnecessary functionality that can sometimes impede
evolution. Broadly, tag-based regulation adds to our
repertoire of techniques for evolving more dynamic
computer programs and can easily be incorporated into
existing tag-enabled GP systems.",
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notes = "GECCO-2022 A Recombination of the 31st International
Conference on Genetic Algorithms (ICGA) and the 27th
Annual Genetic Programming Conference (GP)",
- }
Genetic Programming entries for
Alexander Lalejini
Matthew Andres Moreno
Charles Ofria
Citations