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Orientador(es)
Resumo(s)
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.
Descrição
De Lorenzo, A., Bartoli, A., Castelli, M., Medvet, E., & Xue, B. (2020). Genetic programming in the twenty-first century: a bibliometric and content-based analysis from both sides of the fence. Genetic Programming And Evolvable Machines, 21(1-2), 181–204. [Adavanced online publication on 27 July 2019]. doi: https://doi.org/10.1007/s10710-019-09363-3
Palavras-chave
Bibliometrics Genetic programming Literature review Publication habits Topic modeling Software Theoretical Computer Science Hardware and Architecture Computer Science Applications
