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020			_a9783030729042
024	7		_a10.1007/978-3-030-72904-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA347.E96 _b2021 EB
245	0	0	_aEvolutionary computation in combinatorial optimization : _b21st European Conference, EvoCOP 2021, Held as Part of EvoStar 2021, Virtual Event, April 7-9, 2021, Proceedings _cedited by Christine Zarges, Sébastien Verel
250			_aFirst edition 2021
264		1	_aCham, Switzerland _bSpringer International Publising _c2021
300			_a1 recurso en línea (XIV, 237 páginas) _b47 ilustraciones, 44 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aTheoretical Computer Science and General Issues _v12692
505	0		_aA Novel Ant Colony Optimization Strategy for the Quantum Circuit Compilation Problem -- Hybridization of Racing Methods with Evolutionary Operators for Simulation Optimization of Traffic Lights Programs -- Decomposition-based Multi-objective Landscape Features and Automated Algorithm Selection -- MATE: A Model-Based Algorithm Tuning Engine -- An Improvement Heuristic Based on Variable Neighborhood Search for a Dynamic Orienteering Problem -- Runtime Analysis of the (mu+1)-EA on the Dynamic BinVal Function -- Tabu-Driven Quantum Neighborhood Samplers -- On Hybrid Heuristics for Steiner Trees on the Plane with Obstacles -- Flowshop NEH-Based Heuristic Recommendation -- Stagnation Detection with Randomized Local Search -- An Artificial Immune System for Black Box Test Case Selection -- Symmetry Breaking for Voting Mechanisms -- A Heuristic Algorithm for School Bus Routing with Bus Stop Selection -- Hybrid Heuristic and Metaheuristic for Solving Electric Vehicle Charging Scheduling Problem.
520	3		_aThis book constitutes the refereed proceedings of the 21st European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2021, held as part of Evo*2021, as Virtual Event, in April 2021, co-located with the Evo*2021 events: EvoMUSART, EvoApplications, and EuroGP. The 14 revised full papers presented in this book were carefully reviewed and selected from 42 submissions. They cover a wide spectrum of topics, ranging from the foundations of evolutionary algorithms and other search heuristics to their accurate design and application to combinatorial optimization problems. Fundamental and methodological aspects deal with runtime analysis, the structural properties of fitness landscapes, the study of core components of metaheuristics, the clever design of their search principles, and their careful selection and configuration. Applications cover problem domains such as scheduling, routing, search-based software engineering and general graph problems. The range of topics covered in this volume reflects the current state of research in the fields of evolutionary computation and combinatorial optimization.
988			_aSpringer_Computer_2021
650		7	_2embne _9667195 _aComputación evolutiva _vCongresos y asambleas
650		7	_2embne _9157651 _aOptimización combinatoria _vCongresos y asambleas
700	1		_aZarges, Christine _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aVerel, Sébastien _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-72904-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2021 _dz _eb _zSI