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The Ethereal
TurboGP: A flexible and advanced python based GP library
August 31, 2023 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Lino Rodriguez-Coayahuitl, Alicia Morales-Reyes, Hugo Jair Escalante
arXiv ID
2309.00149
Category
cs.NE: Neural & Evolutionary
Cross-listed
cs.LG
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
Abstract
We introduce TurboGP, a Genetic Programming (GP) library fully written in Python and specifically designed for machine learning tasks. TurboGP implements modern features not available in other GP implementations, such as island and cellular population schemes, different types of genetic operations (migration, protected crossovers), online learning, among other features. TurboGP's most distinctive characteristic is its native support for different types of GP nodes to allow different abstraction levels, this makes TurboGP particularly useful for processing a wide variety of data sources.
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