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020 _a9783030728120
_9978-3-030-72812-0
024 7 _a10.1007/978-3-030-72812-0
_2doi
050 4 _aQA76.7-.73
072 7 _aUMX
_2bicssc
072 7 _aCOM051010
_2bisacsh
072 7 _aUMX
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082 0 4 _a005.13
_223
245 1 0 _aGenetic Programming
_h[electronic resource] :
_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 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aX, 281 p. 106 illus., 75 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_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 _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.
650 0 _aProgramming languages (Electronic computers).
650 0 _aArtificial intelligence.
650 0 _aComputer systems.
650 0 _aOperating systems (Computers).
650 0 _aComputer programming.
650 0 _aComputer networks .
650 1 4 _aProgramming Language.
650 2 4 _aArtificial Intelligence.
650 2 4 _aComputer System Implementation.
650 2 4 _aOperating Systems.
650 2 4 _aProgramming Techniques.
650 2 4 _aComputer Communication Networks.
700 1 _aHu, Ting.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLourenço, Nuno.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMedvet, Eric.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030728113
776 0 8 _iPrinted edition:
_z9783030728137
830 0 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v12691
856 4 0 _uhttps://doi.org/10.1007/978-3-030-72812-0
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912 _aZDB-2-SXCS
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942 _cSPRINGER
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