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Online Ressourcen
Link zu diesem Datensatz https://d-nb.info/1373897317
Art des Inhalts Konferenzschrift
Titel Genetic Programming : 28th European Conference, EuroGP 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings / edited by Bing Xue, Luca Manzoni, Illya Bakurov
Person(en) Xue, Bing (Herausgeber)
Manzoni, Luca (Herausgeber)
Bakurov, Illya (Herausgeber)
Organisation(en) SpringerLink (Online service) (Sonstige)
Ausgabe 1st ed. 2025
Verlag Cham : Springer Nature Switzerland, Imprint: Springer
Zeitliche Einordnung Erscheinungsdatum: 2025
Umfang/Format Online-Ressource, X, 258 p. 79 illus., 74 illus. in color. : online resource.
Andere Ausgabe(n) Printed edition:: ISBN: 978-3-031-89990-4
Printed edition:: ISBN: 978-3-031-89992-8
Inhalt -- Ghost Swarms: Learning Swarm Rules from Environmental Changes Alone. -- A Systematic Evaluation of Evolving Highly Nonlinear Boolean Functions in Odd Sizes. -- Exploring the Impact of Data Scale on Mutation Step Size in SLIM-GSGP. -- Multi-Objective Evolutionary Design of Explainable EEG Classifier. -- On the Effectiveness of Crossover Operators in Cartesian Genetic Programming. -- Population Diversity, Information Theory and Genetic Improvement. -- Introducing Crossover in SLIM-GSGP. -- Exploring the Integration of Cellular Structures in Genetic Programming-based Methods. -- Ant-based Metaheuristics Struggle to Solve the Cartesian Genetic Programming Learning Task. -- Designing Lookahead Relocation Rules for the Container Relocation Problem with Genetic Programming. -- Evolved and Transparent Pipelines for Biomedical Image Classification. -- Unified Piecewise Symbolic Regression. -- Was Tournament Selection All We Ever Needed? A Critical Reflection on Lexicase Selection. -- The Role of Stepping Stones in MAP-Elites: Insights from Search Trajectory Networks. -- Micro-Step Time-Series Regression: Insights from System Identification Using Symbolic Regression
Persistent Identifier URN: urn:nbn:de:101:1-2508150409008.859440161648
DOI: 10.1007/978-3-031-89991-1
URL https://doi.org/10.1007/978-3-031-89991-1
ISBN/Einband/Preis 978-3-031-89991-1
Sprache(n) Englisch (eng)
Beziehungen Lecture Notes in Computer Science ; 15609
DDC-Notation 006.3 (maschinell ermittelte DDC-Kurznotation)
Sachgruppe(n) 004 Informatik

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