04316nam a22006135i 4500 978-3-031-56957-9 DE-He213 20251030111748.0 cr nn 008mamaa 240323s2024 sz | s |||| 0|eng d 9783031569579 978-3-031-56957-9 10.1007/978-3-031-56957-9 doi QA76.7-.73 UMX bicssc COM051010 bisacsh UMX thema Genetic Programming [electronic resource] : 27th European Conference, EuroGP 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings / edited by Mario Giacobini, Bing Xue, Luca Manzoni. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. X, 227 p. 69 illus., 53 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Computer Science, 1611-3349 ; 14631 Long 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. This 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. Programming languages (Electronic computers). 66206 System theory. 66519 Computer networks . 60157 Machine learning. 55059 Natural language processing (Computer science). 65131 Programming Language. 66208 Complex Systems. 66520 Computer Communication Networks. 65689 Machine Learning. 55059 Natural Language Processing (NLP). 66164 Giacobini, Mario. editor. edt http://id.loc.gov/vocabulary/relators/edt 74112 Xue, Bing. editor. (orcid)0000-0002-4865-8026 https://orcid.org/0000-0002-4865-8026 edt http://id.loc.gov/vocabulary/relators/edt 74113 Manzoni, Luca. editor. edt http://id.loc.gov/vocabulary/relators/edt 74114 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031569562 Printed edition: 9783031569586 Lecture Notes in Computer Science, 1611-3349 ; 14631 https://doi.org/10.1007/978-3-031-56957-9 ZDB-2-SCS ZDB-2-SXCS ZDB-2-LNC 58707 58707