000			03187nam a22005655i 4500
001			978-1-4020-3665-1
003			DE-He213
005			20251006084458.0
007			cr nn 008mamaa
008			100301s2005 ne | s |||| 0|eng d
020			_a9781402036651
020			_a99781402036651
024	7		_a10.1007/1-4020-3665-5 _2doi
082	0	4	_a004.0151 _223
100	1		_aIglesias, M. _eauthor.
245	1	0	_aFoundations of Generic Optimization _h[electronic resource] : _bVolume 1: A Combinatorial Approach to Epistasis / _cby M. Iglesias, B. Naudts, A. Verschoren, C. Vidal ; edited by R. Lowen, A. Verschoren.
264		1	_aDordrecht : _bSpringer Netherlands, _c2005.
300			_aXIII, 296 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aMathematical Modelling: Theory and Applications, _x1386-2960 ; _v20
505	0		_aGenetic algorithms: a guide for absolute beginners -- Evolutionary algorithms and their theory -- Epistasis -- Examples -- Walsh transforms -- Multary epistasis -- Generalized Walsh transforms.
520			_aThe success of a genetic algorithm when applied to an optimization problem depends upon several features present or absent in the problem to be solved, including the quality of the encoding of data, the geometric structure of the search space, deception or epistasis. This book deals essentially with the latter notion, presenting for the first time a complete state-of-the-art research on this notion, in a structured completely self-contained and methodical way. In particular, it contains a refresher on the linear algebra used in the text as well as an elementary introductory chapter on genetic algorithms aimed at readers unacquainted with this notion. In this way, the monograph aims to serve a broad audience consisting of graduate and advanced undergraduate students in mathematics and computer science, as well as researchers working in the domains of optimization, artificial intelligence, theoretical computer science, combinatorics and evolutionary algorithms.
650		0	_aCOMPUTER SCIENCE.
650		0	_aCOMPUTATIONAL COMPLEXITY.
650		0	_aGENETICS _xMATHEMATICS.
650		0	_aCOMBINATORICS.
650		0	_aMATHEMATICAL OPTIMIZATION.
650	1	4	_aCOMPUTER SCIENCE.
650	2	4	_aMATHEMATICS OF COMPUTING.
650	2	4	_aDISCRETE MATHEMATICS IN COMPUTER SCIENCE.
650	2	4	_aGENETICS AND POPULATION DYNAMICS.
650	2	4	_aOPTIMIZATION.
650	2	4	_aCOMBINATORICS.
700	1		_aNaudts, B. _eauthor.
700	1		_aVerschoren, A. _eauthor.
700	1		_aVidal, C. _eauthor.
700	1		_aLowen, R. _eeditor.
700	1		_aVerschoren, A. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781402036668
830		0	_aMathematical Modelling: Theory and Applications, _x1386-2960 ; _v20
856	4	0	_uhttp://dx.doi.org/10.1007/1-4020-3665-5 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SCS
942			_2ddc _cER
999			_c60546 _d60546