Maelstrom: An Accelerator-Compatible GP Framework
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{seals:2023:EvoSoft,
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author = "Deacon Seals and Robert Wilkes and Daniel Tauritz",
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title = "Maelstrom: An Accelerator-Compatible {GP} Framework",
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booktitle = "Evolutionary Computation Software Systems",
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year = "2023",
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editor = "Stefan Wagner and Michael Affenzeller",
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pages = "1882--1890",
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address = "Lisbon, Portugal",
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series = "GECCO '23",
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month = "15-19 " # 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, island
models, coevolution, software systems",
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isbn13 = "9798400701191",
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DOI = "doi:10.1145/3583133.3596359",
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size = "9 pages",
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abstract = "This work presents the Maelstrom framework for
strong-typed tree GP. Maelstrom is a Python library
designed to facilitate rapid prototyping and
exploration of weak-typed tree GP, strong-typed tree
GP, island model, and coevolution with flexibility that
enables support for accelerator frameworks such as JAX.
The architecture and features of Maelstrom are
discussed alongside several example applications
employing Gym environments and an accelerated version
of predator-prey.",
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notes = "GECCO-2023 A Recombination of the 32nd International
Conference on Genetic Algorithms (ICGA) and the 28th
Annual Genetic Programming Conference (GP)",
- }
Genetic Programming entries for
Deacon Seals
Robert Wilkes
Daniel R Tauritz
Citations