000			03917nam a22003735i 4500
001			102903
003			DE-He213
005			20230102113105.0
007			cr nn 008mamaa
008			171207s2018 gw | s |||| 0|eng d
020			_a9783319705422
024	7		_a10.1007/978-3-319-70542-2 _2doi
040			_aES-MaUEC _bspa
050		4	_aQA402.5 _bM634 2018 EB
245	1	0	_aModeling, Simulation, and Optimization _cedited by Pandian Vasant, Igor Litvinchev, José Antonio Marmolejo-Saucedo.
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (VIII, 129 páginas 50 ilustraciones, 41 ilustraciones a color)
347			_atext file _bPDF
490	0		_aEAI/Springer Innovations in Communication and Computing _x2522-8595
505	0		_aTexture Synthesis and Design based on Elements Distribution Creation -- Selective Encryption using Natural Language Processing for Text data in Mobile Ad hoc Network -- A Novel Hybrid Artificial Bee Colony with Monarch Butterfly Optimization for Global Optimization Problems -- Domain Models Definition for Rule Generation Using Controlled Variability Management -- Hybridizing Bat Algorithm with Modified Pitch-Adjustment Operator for Numerical Optimization Problems -- Consolidation of Host-Based Mobility Management Protocols with Wireless Mesh Network -- Performance Evaluation of Hot Mix Asphalt Concrete by Using Polymeric Waste Polyethylene -- Evaluation of technical efficiency of thermal power units in Mexico Data Envelopment Analysis and Stochastic Frontiers.
520	3		_aThis book features selected contributions in the areas of modeling, simulation, and optimization. The contributors discusses requirements in problem solving for modeling, simulation, and optimization. Modeling, simulation, and optimization have increased in demand in exponential ways and how potential solutions might be reached. They describe how new technologies in computing and engineering have reduced the dimension of data coverage worldwide, and how recent inventions in information and communication technology (ICT) have inched towards reducing the gaps and coverage of domains globally. The chapters cover how the digging of information in a large data and soft-computing techniques have contributed to a strength in prediction and analysis, for decision making in computer science, technology, management, social computing, green computing, and telecom. The book provides an insightful reference to the researchers in the fields of engineering and computer science. Researchers, academics, and professionals will benefit from this volume. Features selected expanded papers in modeling, simulation, and optimization from COMPSE 2016; Includes research into soft computing and its application in engineering and technology; Presents contributions from global experts in academia and industry in modeling, simulation, and optimization.
650		7	_9145705 _aOptimización matemática _2embne
650		7	_aSimulación por ordenador _2embne _9147541
700	1		_aVasant, Pandian _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/no2008165452 _1http://viaf.org/viaf/17052328/
700	1		_aLitvinchev, I. S. _0http://id.loc.gov/authorities/names/n85126963 _1http://viaf.org/viaf/269203695/
700	1		_aMarmolejo-Saucedo, José Antonio _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iEdición impresa: _z9783319705415
776	0	8	_iEdición impresa: _z9783319705439
776	0	8	_iEdición impresa: _z9783319889566
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-70542-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aEngineering (Springer-11647)
988			_aEBSPRINGER_2018
998			_b02/2019 _dz _ek _feng _ggw _h0
999			_c102903 _d102903 _x1