PyshGP: PushGP in Python
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gp-bibliography.bib Revision:1.8010
- @InProceedings{Pantridge:2017:GECCO,
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author = "Edward Pantridge and Lee Spector",
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title = "{PyshGP}: {PushGP} in Python",
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booktitle = "Proceedings of the Genetic and Evolutionary
Computation Conference Companion",
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series = "GECCO '17",
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year = "2017",
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isbn13 = "978-1-4503-4939-0",
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address = "Berlin, Germany",
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pages = "1255--1262",
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size = "8 pages",
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URL = "http://doi.acm.org/10.1145/3067695.3082468",
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DOI = "doi:10.1145/3067695.3082468",
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acmid = "3082468",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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keywords = "genetic algorithms, genetic programming, machine
learning",
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month = "15-19 " # jul,
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abstract = "The PushGP genetic programming system, which evolves
programs expressed in the Push programming language,
has been used for a variety of research projects and
applications over its sixteen-year history. PushGP
relies on an implementation of the Push language in a
host language, and it is generally easiest to use
PushGP in projects in which most other components, such
as fitness functions and data access instructions, are
written in the same host language. While versions of
Push have been written in nearly a dozen different
languages, a full-featured implementation in Python
would make it available to a particularly large user
base, and facilitate its integration with a wide range
of existing data science tools. This paper presents
pyshgp as an open-source PushGP framework implemented
in the Python programming language, and describes some
of its features for data science applications.",
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notes = "Also known as
\cite{Pantridge:2017:PPP:3067695.3082468} GECCO-2017 A
Recombination of the 26th International Conference on
Genetic Algorithms (ICGA-2017) and the 22nd Annual
Genetic Programming Conference (GP-2017)",
- }
Genetic Programming entries for
Edward R Pantridge
Lee Spector
Citations