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008			131028e201300 nyu s 000 0 eng d
020			_a1461469406 (electronic bk.)
020			_a9781461469407 (electronic bk.)
020			_z9781461469391
040			_aCO-CtgIUMC _bspa _ccoctgiumc _drda
082	0	4	_a001.42 _bB874
245	0	0	_aSearch methodologies _h[electronic resource] : _bintroductory tutorials in optimization and decision support techniques / _cedited by Edmund K. Burke, Graham Kendall.
250			_aSegunda edicion.
264		4	_aNew York : : _bSpringer,, _c[2013?]
264		4	_c©2014
264		1	_c[2013?]
300			_a1 recurso en línea (vi, 620 páginas) : _bilustraciones.
336			_atexto _btxt _2rdacontent
337			_acomputador _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
504			_aIncluye referencias bibliográficas e índice.
520			_aThe first edition of Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques was originally put together to offer a basic introduction to the various search and optimization techniques that students might need to use during their research, and this new edition continues this tradition. Search Methodologies has been expanded and brought completely up to date, including new chapters covering scatter search, GRASP, and very large neighborhood search. The chapter authors are drawn from across Computer Science and Operations Research and include some of the worlds leading authorities in their field. The book provides useful guidelines for implementing the methods and frameworks described and offers valuable tutorials to students and researchers in the field. As I embarked on the pleasant journey of reading through the chapters of this book, I became convinced that this is one of the best sources of introductory material on the search methodologies topic to be found. The books subtitle, Introductory Tutorials in Optimization and Decision Support Techniques, aptly describes its aim, and the editors and contributors to this volume have achieved this aim with remarkable success. The chapters in this book are exemplary in giving useful guidelines for implementing the methods and frameworks described. Fred Glover, Leeds School of Business, University of Colorado Boulder, USA [The book] aims to present a series of well written tutorials by the leading experts in their fields. Moreover, it does this by covering practically the whole possible range of topics in the discipline. It enables students and practitioners to study and appreciate the beauty and the power of some of the computational search techniques that are able to effectively navigate through search spaces that are sometimes inconceivably large. I am convinced that this second edition will build on the success of the first edition and that it will prove to be just as popular. Jacek Blazewicz, Institute of Computing Science, Poznan University of Technology and Institute of Bioorganic Chemistry, Polish Academy of Sciences.
588			_aDescripcion basada en recurso en linea; Titulo desde PDF título en página (SpringerLink, viewed Oct. 28, 2013)
650		0	_aSistemas de toma de decisiones.
650		0	_aOptimización matemática.
650		0	_aTeoría de búsqueda.
700	1		_aBurke, Edmund, _cPh. D.
700	1		_aKendall, Graham, _d1961-
856			_uhttps://drive.google.com/file/d/1nmOnvv4s28BMmmLwQuA4jeSuqBn333Ug/view?usp=sharing _zDar click aqui para ver texto completo
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999			_c87804 _d87804