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dc.contributor.authorJAIN, AKASH-
dc.date.accessioned2022-02-22T06:48:37Z-
dc.date.available2022-02-22T06:48:37Z-
dc.date.issued2021-05-
dc.identifier.urihttp://dspace.dtu.ac.in:8080/jspui/handle/repository/18985-
dc.description.abstractIn Anthropology there is theory of Evolution by Charles Darwin based on the concept of Survival of the fittest. So as a consequence of it every living organism be it human beings , animals , insects, or even micro-organisms like Coronavirus have to adapt , mitigate and become resilient with environment if they want to survive . That means there is a constant learning with some feedback error so that the species will introduce desired changes in them. That particular thing (Learning with feedback) is the backbone of Soft Computing. In light of Bio-Inspired Computing we are dealing with the very recent algorithm which is Mayfly Algorithm (MA) developed in May -2020 itself . In this project we have done a thorough review of Mayfly Algorithms and the recent developments happened in the Mayfly Algorithm and with various future applications of it.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesTD-5573;-
dc.subjectMAYFLY ALGORITHMen_US
dc.subjectANTHROPOLOGYen_US
dc.subjectLIVING ORGANISMen_US
dc.titleSYSTEMATIC STUDY OF MAYFLY ALGORITHM WITH APPLICATIONSen_US
dc.typeThesisen_US
Appears in Collections:M Sc Applied Maths

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