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Genetic Programming [[electronic resource] ] : 24th European Conference, EuroGP 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings / / edited by Ting Hu, Nuno Lourenço, Eric Medvet



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Titolo: Genetic Programming [[electronic resource] ] : 24th European Conference, EuroGP 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings / / edited by Ting Hu, Nuno Lourenço, Eric Medvet Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Edizione: 1st ed. 2021.
Descrizione fisica: 1 online resource (x, 279 pages) : illustrations
Disciplina: 006.31
Soggetto topico: Programming languages (Electronic computers)
Artificial intelligence
Computer systems
Operating systems (Computers)
Computer programming
Computer networks
Programming Language
Artificial Intelligence
Computer System Implementation
Operating Systems
Programming Techniques
Computer Communication Networks
Persona (resp. second.): HuDing
LourençoNuno
MedvetEric
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Quality 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.
Sommario/riassunto: This 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.
Titolo autorizzato: Genetic Programming  Visualizza cluster
ISBN: 3-030-72812-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996464428903316
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Serie: Theoretical Computer Science and General Issues, . 2512-2029 ; ; 12691