000			a
999			_c19072 _d19072
003			OSt
005			20230329083849.0
008			230329b xxu||||| |||| 00| 0 eng d
040			_aAIKTC-KRRC _cAIKTC-KRRC
100			_920317 _aArchana, D.
245			_aNode location algorithm based on improved grasshopper optimization in wireless sensor network
250			_aVol.13(3), Sep
260			_aChennai _bICT Academy _c2022
300			_a2767-2773p.
520			_aAs the use of swarm intelligence algorithms grows, so does the interest in placing nodes in a Wireless Sensor network. For this reason, the RSSI range model positioning algorithm has been replaced by a more accurate one. With the help of this paper, you can solve complex structural optimization problems with the Grasshopper Optimization Algorithm (GOA). Optimization problems can be solved using this algorithm, which was inspired by the behaviour of grasshopper colonies. CEC2005 is used to test the GOA algorithm quality and quantitative performance. Trusses with a total of 53 and 3 cantilever beams are used to demonstrate the design practicality. It appears that the proposed algorithm outperforms well-known and recently developed algorithms in this area. GOA ability to solve real-world problems with unknown search spaces is demonstrated by its use in the real world.
650		0	_94619 _aEXTC Engineering
700			_920318 _aPrakasam, S.
773	0		_x0976-0091 _tICTACT journal on communication technology _dChennai ICT Academy
856			_uhttps://ictactjournals.in/paper/IJCT_Vol_13_Iss_3_Paper_8_2767_2773.pdf _yClick here
942			_2ddc _cAR