Genetic programming in the twenty-first century: a bibliometric and content-based analysis from both sides of the fence

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@Article{DeLorenzo:GPEM20,

• author = "Andrea {De Lorenzo} and Alberto Bartoli and Mauro Castelli and Eric Medvet and Bing Xue",
• title = "Genetic programming in the twenty-first century: a bibliometric and content-based analysis from both sides of the fence",
• journal = "Genetic Programming and Evolvable Machines",
• year = "2020",
• volume = "21",
• number = "1-2",
• pages = "181--204",
• month = jun,
• note = "Twentieth Anniversary Issue",
• keywords = "genetic algorithms, genetic programming, Bibliometrics, Topic modelling, Literature review, Publication habits",
• ISSN = "1389-2576",
• DOI = "doi:10.1007/s10710-019-09363-3",
• size = "24 pages",
• abstract = "In this work we present an extensive bibliometric and content-based analysis of the scientific literature about genetic programming in the twenty-first century. Our work has two key peculiarities. First, we revealed the topics emerging from the literature based on an unsupervised analysis of the textual content of titles and abstracts. Second, we executed all of our analyses twice, once on the papers published in the venues that are typical of the evolutionary computation research community and once on those published in all the other venues. This view from both sides of the fence allows us to gain broader and deeper insights into the actual contributions of our community.",
• notes = "Google Scholar, Scopus 10233 documents, SPECIES website, Latent Dirichlet Allocation, TF-IDF",

}

Genetic Programming entries for Andrea De Lorenzo Alberto Bartoli Mauro Castelli Eric Medvet Bing Xue

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