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020			_a9783030728120
024	7		_a10.1007/978-3-030-72812-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.623 _b2021 EB
245	0	0	_aGenetic programming : _b24th European Conference, EuroGP 2021, Held as Part of EvoStar 2021, Virtual Event, April 7-9, 2021, Proceedings _cedited by Ting Hu, Nuno Lourenço, Eric Medvet
250			_aFirst edition 2021
264		1	_aCham, Switzerland _bSpringer International Publising _c2021
300			_a1 recurso en línea (X, 281 páginas) _b106 ilustraciones, 75 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 _v12691
505	0		_aQuality Diversity Genetic Programming for Learning Decision Tree Ensembles -- Progressive Insular Cooperative GP -- Regenerating Soft Robots through Neural Cellular Automata -- Inclusive Genetic Programming -- Towards incorporating Human Knowledge in Fuzzy Pattern Tree Evolution -- Evolutionary Neural Architecture Search Supporting Approximate Multipliers -- Automatic design of deep neural networks applied to image segmentation problems -- On the Influence of Grammars on Crossover in Grammatical Evolution -- On the Generalizability of Programs Synthesized by Grammar-Guided Genetic Programming -- Evolution of Complex Combinational Logic Circuits Using Grammatical Evolution with SystemVerilog -- Evofficient: Reproducing a Cartesian Genetic Programming Method -- Software Anti-patterns Detection Under Uncertainty Using A Possibilistic Evolutionary Approach -- Probabilistic Grammatical Evolution -- Evolving allocation rules for beam search heuristics in assembly line balancing -- Incremental Evaluation of Genetic Programming -- Mining Feature Relationships in Data -- Getting a Head Start on Program Synthesis with Genetic Programming.
520	3		_aThis book constitutes the refereed proceedings of the 24th European Conference on Genetic Programming, EuroGP 2021, held as part of Evo*2021, as Virtual Event, in April 2021, co-located with the Evo*2021 events, EvoCOP, EvoMUSART, and EvoApplications. The 11 revised full papers and 6 short papers presented in this book were carefully reviewed and selected from 27 submissions. The wide range of topics in this volume reflects the current state of research in the field. The collection of papers cover interesting topics including developing new operators for variants of GP algorithms, as well as exploring GP applications to the optimisation of machine learning methods and the evolution of complex combinational logic circuits.
988			_aSpringer_Computer_2021
650		7	_2embne _9469951 _aProgramación genética (Informática) _vCongresos y asambleas
700	1		_aHu, Ting _eeditor literario _0(orcid)0000-0001-6382-0602 _1https://orcid.org/0000-0001-6382-0602 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aLourenço, Nuno _eeditor literario _0(orcid)0000-0002-2154-0642 _1https://orcid.org/0000-0002-2154-0642 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aMedvet, Eric _eeditor literario _0(orcid)0000-0001-5652-2113 _1https://orcid.org/0000-0001-5652-2113 _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/10.1007/978-3-030-72812-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2021 _dz _eb _zSI