A bibliometric analysis of Genetic Algorithms throughout the history
Date
2017
Authors
Dao, S.D.
Abhary, K.
Marian, R.
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Journal article
Citation
Computers and Industrial Engineering, 2017; 110:395-403
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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.
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Copyright 2017 Elsevier