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Genetic Programming  - 26th European Conference, EuroGP 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings
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Genetic Programming

26th European Conference, EuroGP 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings

1st ed. 2023 - Erschienen 2023.

Gebrauchs- und Lagerspuren. AuÃ?en: verschmutzt. Innen: Seiten verschmutzt. 41582765/3
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evolutionary algorithms, genetic programming, correlation analysis, optimization problems, distributed computer systems, distributed systems, functional programming, generic programming, genetic algorithms, artificial intelligence, parallel processing systems, program compilers, object-oriented programming, Natural Language Processing (NLP), computer systems, computer programming

Produktart:
📚 Bücher
Autor(en):
Pappa, Gisele, Mario Giacobini und Zdenek Vasicek:
Anbieter:
Buchpark GmbH
Bestell-Nr.:
415827653
Katalog:
Varia
ISBN | EAN:
3031295722 | 9783031295720
Stichworte:
evolutionary, algorithms, genetic, programming, correlation, analysis, optimization, problems, distributed, computer, systems, functional, generic, artificial, intelligence, parallel, processing, program, compilers, object-oriented, Natural, Language, Processing, (NLP)
Zahlungsarten:
Vorauskasse, PayPal
Gebraucht, gut 36,92 EUR 33,23 EUR Kostenloser Versand
Sonderaktion: 10% Rabatt bis 05.11.2026
Genetic Programming  - 26th European Conference, EuroGP 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings
Genetic Programming
Gebraucht, gut
36,92 EUR 33,23 EUR
Kostenloser Versand
This book constitutes the refereed proceedings of the 26th European Conference on Genetic Programming, EuroGP 2023, held as part of EvoStar 2023, in Brno, Czech Republic, during April 12¿14, 2023, and co-located with the EvoStar events, EvoCOP, EvoMUSART, and EvoApplications.
The 14 revised full papers and 8 short papers presented in this book were carefully reviewed and selected from 38 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 for both optimization and machine learning problems as well as exploring GP to address complex real-world problems.
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