当前位置: X-MOL 学术Genet. Program. Evolvable Mach. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Genetic programming in the twenty-first century: a bibliometric and content-based analysis from both sides of the fence
Genetic Programming and Evolvable Machines ( IF 1.7 ) Pub Date : 2019-07-27 , DOI: 10.1007/s10710-019-09363-3
Andrea De Lorenzo , Alberto Bartoli , Mauro Castelli , Eric Medvet , Bing Xue

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.

中文翻译:

二十一世纪的基因编程:围栏两边的文献计量和基于内容的分析

在这项工作中,我们对 21 世纪有关遗传编程的科学文献进行了广泛的文献计量和基于内容的分析。我们的工作有两个主要特点。首先,我们基于对标题和摘要的文本内容的无监督分析揭示了文献中出现的主题。其次,我们执行了两次所有分析,一次针对在进化计算研究社区的典型场所发表的论文,一次针对在所有其他场所发表的论文。这种来自“围栏两侧”的观点使我们能够更广泛、更深入地了解我们社区的实际贡献。
更新日期:2019-07-27
down
wechat
bug