PyshGP: PushGP in Python

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Pantridge:2017:GECCO,

• author = "Edward Pantridge and Lee Spector",
• title = "{PyshGP}: {PushGP} in Python",
• booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference Companion",
• series = "GECCO '17",
• year = "2017",
• isbn13 = "978-1-4503-4939-0",
• address = "Berlin, Germany",
• pages = "1255--1262",
• size = "8 pages",
• URL = "http://doi.acm.org/10.1145/3067695.3082468",
• DOI = "doi:10.1145/3067695.3082468",
• acmid = "3082468",
• publisher = "ACM",
• publisher_address = "New York, NY, USA",
• keywords = "genetic algorithms, genetic programming, machine learning",
• month = "15-19 " # jul,
• 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.",
• 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