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006			m o d
007			cr cnu|||unuuu
008			170502s2017 sz a o 100 0 eng d
020			_a3319493256 _q(electronic bk.)
020			_a9783319493251 _q(electronic bk.)
020			_z3319493248
020			_z9783319493244 _q(print)
040			_aGW5XE _cGW5XE _dYDX _dAZU _dUPM _dOCLCF _dCOO _dUAB _dESU _dIOG _dVT2 _dOCLCQ _dU3W _dES-MaUEC _bspa
050		4	_aQ342 _b.E965 2017 EB
111	2		_aEVOLVE (International conference) _d(2013 : _cLeiden, Netherlands)
245	1	0	_aEVOLVE : _ba bridge between probability, set oriented numerics and evolutionary computation VII _cMichael Emmerich, André Deutz, Oliver Schütze, Pierrick Legrand, Emilia Tantar, Alexandru-Adrian Tantar, editors.
264		1	_aCham, Switzerland _bSpringer _c2017.
300			_a1 recurso en línea (viii, 210 páginas) _bilustraciones (algunas a color)
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aStudies in computational intelligence _x1860-949X _vvolume 662
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
505	0		_aA Survey of Diversity Oriented Optimization: Problems, Indicators, and Algorithms -- Global Multi-Objective Optimization by Means of Cell Mapping Techniques -- Percentile via Polynomial Chaos Expansion: Bridging Robust Optimization with Reliability -- Evolutionary Equilibrium Detection in Multicriteria Games -- A New Estimation of Distribution Algorithm for Nash Equilibria Detection -- Multi-Objective Optimisation by Self-Adaptive Evolutionary Algorithm -- Evidence Based Multidisciplinary Robust Optimization for Mars Micro Entry Probe Design -- A Simulation-Based Algorithm for the Probabilistic Traveling Salesman Problem -- Average Cuboid Volume as a Convergence Indicator and Selection Criterion for Multi-Objective Biochemical Optimization.
520	3		_aThis book comprises nine selected works on numerical and computational methods for solving multiobjective optimization, game theory, and machine learning problems. It provides extended versions of selected papers from various fields of science such as computer science, mathematics and engineering that were presented at EVOLVE 2013 held in July 2013 at Leiden University in the Netherlands. The internationally peer-reviewed papers include original work on important topics in both theory and applications, such as the role of diversity in optimization, statistical approaches to combinatorial optimization, computational game theory, and cell mapping techniques for numerical landscape exploration. Applications focus on aspects including robustness, handling multiple objectives, and complex search spaces in engineering design and computational biology.
650		7	_aOptimización combinatoria _2embne _0(OCoLC)fst00868980 _0 _9157651
700	1		_aDeutz, André, _eeditor literario
700	1		_aEmmerich, Michael, _eeditor literario
700	1		_aLegrand, Pierrick, _eeditor literario
700	1		_aSchütze, Oliver _c(Computer scientist), _eeditor literario
700	1		_aTantar, Alexandru-Adrian, _eeditor literario
700	1		_aTantar, Emilia, _d1981- _eeditor literario
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-49325-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017C
998			_b02/2018 _dz _e- _zSI
999			_c95903 _d95903 _x1