Review of PySR: high-performance symbolic regression in Python and Julia

Created by W.Langdon from gp-bibliography.bib Revision:1.8194

@Article{Tonda:GPEM:PySR,

• author = "Alberto Tonda",
• title = "Review of {PySR}: high-performance symbolic regression in Python and Julia",
• journal = "Genetic Programming and Evolvable Machines",
• year = "2025",
• volume = "26",
• pages = "Article no 7",
• note = "Software Review",
• note = "Online first",
• keywords = "genetic algorithms, genetic programming, Julia",
• ISSN = "1389-2576",
• URL = "https://rdcu.be/d44sw",
• DOI = "doi:10.1007/s10710-024-09503-4",
• size = "4 pages",
• notes = "Applied Mathematics and Computer Science, Paris Saclay Joint Research Unit (UMR 518 MIA-PS), INRAE, Universite Paris-Saclay, Palaiseau, France",

}

Genetic Programming entries for Alberto Tonda

Citations