000			02010nam a22003617a 4500
003			OSt
005			20250714112515.0
008			250714b |||||||| |||| 00| 0 eng d
020			_a9783540732969 _q(hardcover)
040			_beng _cDLC _dDLC _erda _aSai University Library
082			_222 _a005.1
245			_aHybrid Evolutionary Algorithms / _cCrina Grosan, Ajith Abraham, Hisao Ishibuchi editors
250			_a1st edition 2007
260			_aBerlin : _bSpringer, _c[2007]
264		1	_aBerlin : _bSpringer, _c[2007]
264		4	_c©2007
300			_axv, 404 pages : _billustrations ;
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
490	0	0	_aStudies in computational intelligence ; _vVolume 75
500			_aGifted by Professor Ajith Abraham
504			_aIncludes bibliographical references and indexes
520			_aHybridization of evolutionary algorithms is getting popular due to their capabilities in handling several real world problems involving complexity, noisy environment, imprecision, uncertainty and vagueness. This edited volume is targeted to present the latest state-of-the-art methodologies in ’Hybrid Evolutionary Algorithms’. This book deals with the theoretical and methodological aspects, as well as various applications to many real world problems from science, technology, business or commerce. This volume comprises of 14 chapters including an introductory chapter giving the fundamental definitions and some important research challenges. Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.
650		0	_aGenetic algorithms
650		0	_aEvolutionary programming (Computer science)
650		0	_aEvolutionary computation
700	1		_aGrosan, Crina _eeditor
700	1		_aAbraham, Ajith _eeditor
700	1		_aIshibuchi, Hisao _eeditor
830		0	_aStudies in Computational Intelligence, _v75 _x1860-949X ;
942			_2ddc _cBK
999			_c6847 _d6847