000			02187nam a22003135i 4500
001			239202
003			ES-VaUE
005			20240306114307.0
007			cr nn 008mamaa
008			210429s2021 sz | o |||| 0|eng d
020			_a9783030702779
024	7		_a10.1007/978-3-030-70277-9 _2doi
040			_aES-VaU _bspa _cES-VaU _dES-VaU
050		4	_aTS155-194 _b2021 EB
100	1		_aManiezzo, Vittorio. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	0	0	_aMatheuristics : _bAlgorithms and Implementations _cby Vittorio Maniezzo, Marco Antonio Boschetti, Thomas Stützle
250			_a1st ed. 2021.
264		1	_aCham _c2021 _bSpringer International Publishing
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aEURO Advanced Tutorials on Operational Research _x2364-6888
505	0		_aPart I: Contextual Issues -- 1. The Generalized Assignment Problem -- 2. Automatic Design for Matheuristics -- Part II: Metaheuristic Hybrids -- 3. Single Solution Metaheuristics -- 4. Population-Based metaheuristics -- Part III: Original Matheuristics -- 5. Diving Heuristics -- 6. Very Large-Scale Neighborhood Search -- 7. Decomposition Based Heuristics -- 8. Corridor Method -- 9. Kernel Search -- 10. Fore-and-Back.
520			_aThis book is the first comprehensive tutorial on matheuristics. Matheuristics are based on mathematical extensions of previously known heuristics, mainly metaheuristics, and on original, area-specific approaches. This tutorial provides a detailed discussion of both contributions, presenting the pseudocodes of over 40 algorithms, abundant literature references, and for each case a step-by-step description of a sample run on a common Generalized Assignment Problem example. C++ source codes of all algorithms are available in an associated SW repository.
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-70277-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Business_2021
999			_c239202 _d239202