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  • 标题:A Review of Gravitational Search Algorithm
  • 本地全文:下载
  • 作者:Norlina Mohd Sabri ; Mazidah Puteh ; Mohamad Rusop Mahmood
  • 期刊名称:International Journal of Advances in Soft Computing and Its Applications
  • 印刷版ISSN:2074-8523
  • 出版年度:2013
  • 卷号:5
  • 期号:3
  • 出版社:International Center for Scientific Research and Studies
  • 摘要:Gravitational Search Algorithm (GSA) is a recent algorithm that has been inspired by the Newtonian's law of gravity and motion. Since its introduction in 2009, GSA has undergone a lot of changes to the algorithm itself and has been applied in various applications. At present, there are various variants of GSA which have been developed to enhance and improve the original version. The algorithm has also been explored in many areas. Nevertheless, it is still unknown how much the algorithm has evolved and how far the research and developmenthas been done since its introduction. Hence, this paper is intended to dig out the algorithm's current state of publications, advances, its applications and discover its future possibilities. This review is expected to provide an outlook on GSA especially for those researchers who are keen to explore the algorithm's capabilities and performances.
  • 关键词:Applications; Gravitational Search Algorithm; Hybridization; ;Modifications; Review
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