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020 _a9783031569579
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024 7 _a10.1007/978-3-031-56957-9
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050 4 _aQA76.7-.73
072 7 _aUMX
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072 7 _aCOM051010
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072 7 _aUMX
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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
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347 _atext file
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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).
_966206
650 0 _aSystem theory.
_966519
650 0 _aComputer networks .
_960157
650 0 _aMachine learning.
_955059
650 0 _aNatural language processing (Computer science).
_965131
650 1 4 _aProgramming Language.
_966208
650 2 4 _aComplex Systems.
_966520
650 2 4 _aComputer Communication Networks.
_965689
650 2 4 _aMachine Learning.
_955059
650 2 4 _aNatural Language Processing (NLP).
_966164
700 1 _aGiacobini, Mario.
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700 1 _aXue, Bing.
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700 1 _aManzoni, Luca.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
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856 4 0 _uhttps://doi.org/10.1007/978-3-031-56957-9
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