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001			276924
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007			cr nn 008mamaa
008			150903s2011 gw | o |||| 0|eng d
020			_a9783540729624 _99783540729624
024	7		_a10.1007/9783540729624 _2doi
035			_avtls000350453
039		9	_a201509030455 _bVLOAD _c201405050351 _dVLOAD _y201402171057 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQ334-342
100	1		_aRothlauf, Franz. _eautor _9299177
245	1	0	_aDesign of Modern Heuristics : _bPrinciples and Application / _cby Franz Rothlauf.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011.
300			_axI, 267 páginas _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aNatural Computing Series, _x1619-7127
500			_aSpringer eBooks
505	0		_aChap. 1 -- Introduction -- Part I -- Fundamentals -- Chap. 2 -- Optimization Problems -- Chap. 3 -- Optimization Methods -- Part II -- Modern Heuristics -- Chap. 4 -- Design Elements -- Chap. 5 -- Search Strategies -- Chap. 6 -- Design Principles -- Part III Case Studies -- Chap. 7 -- High Locality Representations for Automated Programming -- Chap. 8.-Biased Modern Heuristics for the OCST Problem -- Chap. 9.-Summary -- References -- Nomenclature -- Glossary -- Index.
520			_aMost textbooks on modern heuristics provide the reader with detailed descriptions of the functionality of single examples like genetic algorithms, genetic programming, tabu search, simulated annealing, and others, but fail to teach the underlying concepts behind these different approaches. The author takes a different approach in this textbook by focusing on the users' needs and answering three fundamental questions: First, he tells us which problems modern heuristics are expected to perform well on, and which should be left to traditional optimization methods. Second, he teaches us to systematically design the "right" modern heuristic for a particular problem by providing a coherent view on design elements and working principles. Third, he shows how we can make use of problem-specific knowledge for the design of efficient and effective modern heuristics that solve not only small toy problems but also perform well on large real-world problems. This book is written in an easy-to-read style and it is aimed at students and practitioners in computer science, operations research and information systems who want to understand modern heuristics and are interested in a guide to their systematic design and use.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9783540729617
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-540-72962-4 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c276924 _d276924