A bibliometric analysis of Genetic Algorithms throughout the history. (August 2017)

• Record Type: Journal Article
• Authors: Dao, Son Duy; Abhary, Kazem; Marian, Romeo
• Is Part Of: Computers & industrial engineering. Volume 110(2017)
• Page Start: 395
• Page End: 403
• Publication Date: 2017-08
• Subjects: Genetic algorithms -- Bibliometric analysis -- Publication statistics -- Survey; Engineering -- Data processing -- Periodicals; Industrial engineering -- Periodicals; 620.00285
• DOI: 10.1016/j.cie.2017.06.009
• Languages: English
• ISSNs: 0360-8352

Abstract

Highlights: A bibliometric analysis of Genetic Algorithms throughout the history. A big picture of publications associated with Genetic Algorithms. Some insights and future perspectives of publications associated with Genetic Algorithms. 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.