000 04133nam a22006135i 4500
001 978-3-031-56957-9
003 DE-He213
005 20240423130335.0
007 cr nn 008mamaa
008 240323s2024 sz | s |||| 0|eng d
020 _a9783031569579
_9978-3-031-56957-9
024 7 _a10.1007/978-3-031-56957-9
_2doi
050 4 _aQA76.7-.73
072 7 _aUMX
_2bicssc
072 7 _aCOM051010
_2bisacsh
072 7 _aUMX
_2thema
082 0 4 _a005.13
_223
245 1 0 _aGenetic Programming
_h[electronic resource] :
_b27th European Conference, EuroGP 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings /
_cedited by Mario Giacobini, Bing Xue, Luca Manzoni.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aX, 227 p. 69 illus., 53 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 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v14631
505 0 _aLong Presentations -- Fuzzy Pattern Trees for Classification Problems Using Genetic Programming -- Generational Computation Reduction in Informal Counterexample-Driven Genetic Programming -- Investigating Premature Convergence in Co-optimization of Morphology and Control in Evolved Virtual Soft Robots -- Grammar-based Evolution of Polyominoes -- Naturally Interpretable Control Policies via Graph-based Genetic Programming -- DALex: Lexicase-like Selection via Diverse Aggregation -- Enhancing Large Language Models-based Code Generation by Leveraging Genetic Improvement -- SLIM GSGP: The Non-Bloating Geometric Semantic Genetic Programming -- Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points in Regression -- Short Presentations -- Look into the Mirror: Evolving Self-Dual Bent Boolean Functions.-An Algorithm Based on Grammatical Evolution for Discovering SHACL Constraints -- A Comprehensive Comparison of Lexicase-Based Selection Methods for Symbolic Regression Problems -- Improvement of Last Level Cache.
520 _aThis book constitutes the refereed proceedings of the 27th European Conference on Genetic Programming, EuroGP 2024, held in Aberystwyth, UK, April 3–5, 2024 and co-located with the EvoStar events, EvoCOP, EvoMUSART, and EvoApplications. The 13 papers (9 selected for long presentation and 4 for short presentation) collected in this book were carefully reviewed and selected from 24 submissions. The wide range of topics in this volume reflects the current state of research in the field. The collection of papers cover topics including developing new variants of GP algorithms, as well as exploring GP applications to the optimization of machine learning methods and the evolution of control policies.
650 0 _aProgramming languages (Electronic computers).
650 0 _aSystem theory.
650 0 _aComputer networks .
650 0 _aMachine learning.
650 0 _aNatural language processing (Computer science).
650 1 4 _aProgramming Language.
650 2 4 _aComplex Systems.
650 2 4 _aComputer Communication Networks.
650 2 4 _aMachine Learning.
650 2 4 _aNatural Language Processing (NLP).
700 1 _aGiacobini, Mario.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aXue, Bing.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aManzoni, Luca.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031569562
776 0 8 _iPrinted edition:
_z9783031569586
830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v14631
856 4 0 _uhttps://doi.org/10.1007/978-3-031-56957-9
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cSPRINGER
999 _c187528
_d187528