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008			170913s2018 gw | s |||| 0|eng d
020			_a9783319640631
024	7		_a10.1007/978-3-319-64063-1 _2doi
040			_aES-MaUEC _bspa
050		4	_aQA402.5 _bN46 2018 EB
245	1	0	_aNEO 2016 _bResults of the Numerical and Evolutionary Optimization Workshop NEO 2016 and the NEO Cities 2016 Workshop held on September 20-24, 2016 in Tlalnepantla, Mexico _cedited by Yazmin Maldonado, Leonardo Trujillo, Oliver Schütze, Annalisa Riccardi, Massimiliano Vasile.
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XIII, 282 páginas 146 ilustraciones, 124 ilustraciones a color)
347			_atext file _bPDF
490	0		_aStudies in Computational Intelligence _x1860-949X _v731
505	0		_aPart I: Smart Cities -- Defensive Driving Strategy and Control for Autonomous Ground Vehicle in Mixed Traffic -- Augmenting the LSA Technique to Evaluate Ubicomp Environments -- Mixed Integer Programming Formulation for the Energy-Efficient Train Timetables Problem -- Distributing Computing in the Internet of Things: Cloud, Fog and Edge Computing Overview -- Part II: Search, Optimization and Hybrid Algorithms -- Integer Programming Models and Heuristics for Non-Crossing Euclidean 3-Matchings -- A Multi-Objective Robust Ellipse Fitting Algorithm -- Gradient-Based Multiobjective Optimization with Uncertainties -- A New Local Search Heuristic for the Multidimensional Assignment Problem -- Part III: Electronics and Embedded Systems --  A Multi-Objective and Multidisciplinary Optimisation Algorithm for Microelectromechanical Systems -- Coefficients Estimation of MPM through LSE, ORLS and SLS for RF-PA Modeling and DPD -- Optimal Sizing of Amplifiers by Evolutionary Algorithms with Integer Encoding and gm/ID Design Method -- Index.  .
520	3		_aThis volume comprises a selection of works presented at the Numerical and Evolutionary Optimization (NEO 2016) workshop held in September 2016 in Tlalnepantla, Mexico. The development of powerful search and optimization techniques is of great importance in today's world and requires researchers and practitioners to tackle a growing number of challenging real-world problems. In particular, there are two well-established and widely known fields that are commonly applied in this area: (i) traditional numerical optimization techniques and (ii) comparatively recent bio-inspired heuristics. Both paradigms have their unique strengths and weaknesses, allowing them to solve some challenging problems while still failing in others. The goal of the NEO workshop series is to bring together experts from these and related fields to discuss, compare and merge their complementary perspectives in order to develop fast and reliable hybrid methods that maximize the strengths and minimize the weaknesses of the underlying paradigms. In doing so, NEO promotes the development of new techniques that are applicable to a broader class of problems. Moreover, NEO fosters the understanding and adequate treatment of real-world problems particularly in emerging fields that affect all of us, such as healthcare, smart cities, big data, among many others. The extended papers presented in the book contribute to achieving this goal.   .
650		7	_9145705 _aOptimización matemática _2embne
650		7	_aInteligencia artificial _2embne _9413115
700	1		_aMaldonado, Yazmin. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/nb2016020064 _1http://viaf.org/viaf/3342147373411241580007/
700	1		_aTrujillo, Leonardo. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/nb2016020050 _1http://viaf.org/viaf/71420894/ _1http://dbpedia.org/resource/Deportivo_Nueva_Concepci%C3%B3n__C%C3%A9sar_Leonardo_Trujillo__1
700	1		_aSchütze, Oliver. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/n90723839 _1http://viaf.org/viaf/40014192/
700	1		_aRiccardi, Annalisa. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aVasile, Massimiliano. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/no2015082521 _1http://viaf.org/viaf/316562892/
776	0	8	_iEdición impresa: _z9783319640624
776	0	8	_iEdición impresa: _z9783319640648
776	0	8	_iEdición impresa: _z9783319877129
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-64063-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aEngineering (Springer-11647)
988			_aEBSPRINGER_2018
998			_b03/2019 _dz _ek _feng _ggw _h0
999			_c103078 _d103078 _x1