000			03246nam a22004215i 4500
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
710	2		_aSpringerLink (Online service) _9106996
999			_c111385 _d111385 _x1
001			111385
003			ES-MaUEC
005			20240111050153.0
008			181109s2019 gw a o |||| 0|eng d
020			_a9783319996486
024	7		_a10.1007/978-3-319-99648-6 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aQA402.5 _b2019 EB
245	0	0	_aRecent advances in computational optimization : _bresults of the Workshop on Computational Optimization WCO 2017 _cedited by Stefka Fidanova
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2019
300			_a1 recurso en línea (X, 236 páginas) _b76 ilustraciones, 40 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aStudies in Computational Intelligence _x1860-949X _v795
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aChapter 1. Contraction methods for correlation clustering: the order is important (Laszlo Aszal´os) -- Chapter 2. Optimisation of Preparedness and Response of Health services in major crises using the IMPRESS platform (Nina Dobrinkova) -- Chapter 3. The new approach for dynamic optimization with variability constraints (Pawel Drag) -- Chapter 4. Intercriteria Analisys of ACO Performance for Workforce Planning Problem (Olympia Roeva) etc.
520	3		_aOur everyday lives are practically unthinkable without optimization. We constantly try to minimize our effort and to maximize the reward or progress achieved. Many real-world and industrial problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks. This volume presents a comprehensive collection of extended contributions from the 2017 Workshop on Computational Optimization. Presenting recent advances in computational optimization, it addresses important concrete applications, e.g. the modeling of physical processes, wildfire modeling, modeling processes in chemical engineering, workforce planning, wireless access network topology, parameter settings for controlling various processes, berth allocation, identification of homogeneous domains, and quantum computing. The book shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming and others.
988			_aPrimersemestre_2019_Robotics
650		7	_aOptimización combinatoria _2embne _9157651
650		7	_aInteligencia artificial _2embne _9413115
700	1		_aFidanova, Stefka _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _997135
776	0	8	_iPrinted edition: _z9783319996479
776	0	8	_iPrinted edition: _z9783319996493
776	0	8	_iPrinted edition: _z9783030076184
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-99648-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b10/2019 _eel _zSI