期刊名称：International Journal of Reviews in Computing
印刷版ISSN：2076-3328
电子版ISSN：2076-3336
出版年度：2014
卷号：13
出版社：Little Lion Scientific Research and Developement
摘要：Natural phenomenon’s and swarms behavior are the warm areas of research among the researchers. A large number of algorithms have been developed on the account of natural phenomenon’s and swarms behavior. These algorithms have been implemented on the various computational problems for the sake of solutions and have shown significant results than conventional methods but till yet there is no such algorithm which can be applied for all types of computational problems. In 2009, a new algorithm was developed on the behalf of theory of gravity and was named gravitational search algorithm (GSA) for continuous optimization problems. In short span of time, GSA algorithm has gained popularity and now being applied to large number of problems such as clustering, classification, parameter identification etc. This article presents the compendious survey on the GSA algorithm and its applications as well as enlightens the applicability of GSA in data clustering & classification.
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