000			01463nam a22002297a 4500
005			20220713144315.0
008			220713b |||||||| |||| 00| 0 eng d
020			_a9789811314704
040			_cIIMV
082			_a519.6 _bMAN
100			_aMandal, Jyotsna Kumar _931974
245	1		_aMulti objective optimization: _bEvolutionary to hybrid framework _cedited by Jyotsna k mandal
260			_aSingapore : _bSpringer, _c2018.
300			_a318p.
520			_aThis book brings together the latest findings on efficient solutions of multi/many-objective optimization problems from the leading researchers in the field. The focus is on solving real-world optimization problems using strategies ranging from evolutionary to hybrid frameworks, and involving various computation platforms. The topics covered include solution frameworks using evolutionary to hybrid models in application areas like Analytics, Cancer Research, Traffic Management, Networks and Communications, E-Governance, Quantum Technology, Image Processing, etc. As such, the book offers a valuable resource for all postgraduate students and researchers interested in exploring solution frameworks for multi/many-objective optimization problems.
650			_aMathematical optimization. _931975
650			_aOptimisation mathématique. _931976
650			_aMATHEMATICS -- Applied. _931977
700			_aSomnath Mukhopadhyay; _931978
700			_aParamartha Dutta. _931979
942			_2ddc _cBK
999			_c5829 _d5829