| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5127518 | Computers & Industrial Engineering | 2017 | 9 Pages |
Abstract
In this article, a bibliometric analysis of Genetic Algorithms (GA) throughout the history is conducted. A big picture of publications associated with GA is created. A number of dominant statistics of GA publications by years, research fields, document types, source titles, countries, institutions and authors are provided herein. In addition, some insights as well as future perspectives of publications associated with GA are discussed.
Related Topics
Physical Sciences and Engineering
Engineering
Industrial and Manufacturing Engineering
Authors
Son Duy Dao, Kazem Abhary, Romeo Marian,