Please use this identifier to cite or link to this item: http://dspace.dtu.ac.in:8080/jspui/handle/repository/14796
Full metadata record
DC FieldValueLanguage
dc.contributor.authorDADEIA, RAHUL-
dc.date.accessioned2016-06-06T05:46:53Z-
dc.date.available2016-06-06T05:46:53Z-
dc.date.issued2016-05-
dc.identifier.urihttp://dspace.dtu.ac.in:8080/jspui/handle/repository/14796-
dc.description.abstractWater is one of the Mankind’s most vital resources. An adequate supply of water is one of the pre-requisites for development and industrial growth. In areas where surface water is not available, Groundwater constitutes significant part of active fresh water resources of the world and is obviously dependable source for all the needs. The stress on water resources started due to exploding irrigation, domestic and industrial demands. The finite water resources are being explored to quench the thirst of millions of the populace. In a developing country like India, the minimum daily requirement of a person is 200 litres for domestic use, while an equal or large amount will be needed for other purposes. It is estimated that out of the total of 1122 billion cubic meters of water utilized in India annually, 430 billion cubic meters is met from surface sources and the rest is met from ground water resources. Groundwater is located beneath the ground surface which is precious natural resources. Geoscientist had to know the location of groundwater for extraction of water. Thus we have applied Grey Wolf Optimizer in the exploration of groundwater in various regions. Experts provided us with values of attributes; soil, lineament and other geology features and our algorithm detected the presence of groundwater in particular region. Hence we have evaluated different attribute values of these characteristics as case base and then detected the presence of groundwater of new cases depending on the previous values of our cases.en_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesTD NO.1974;-
dc.subjectGROUND WATER DETECTIONen_US
dc.subjectMETAHEURISTIC ALGORITHMen_US
dc.subjectWOLF OPTIMIZERen_US
dc.subjectGREY WOLFen_US
dc.titleGROUND WATER EXPLORATION USING GREY WOLF OPTIMIZERen_US
dc.typeThesisen_US
Appears in Collections:M.E./M.Tech. Computer Engineering

Files in This Item:
File Description SizeFormat 
cover page.pdf298.83 kBAdobe PDFView/Open
M.Tech_2K13SWE24_Rahul Dadeia.pdf1.53 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.