Genetic Programming Theory and Practice XIII / Genetic and Evolutionary Computation (PDF)
(Sprache: Englisch)
These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the...
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These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: multi-objective genetic programming, learning heuristics, Kaizen programming, Evolution of Everything (EvE), lexicase selection, behavioral program synthesis, symbolic regression with noisy training data, graph databases, and multidimensional clustering. It also covers several chapters on best practices and lesson learned from hands-on experience. Additional application areas include financial operations, genetic analysis, and predicting product choice. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
Bibliographische Angaben
- 2016, 1st ed. 2016, 262 Seiten, Englisch
- Herausgegeben: Rick Riolo, W. P. Worzel, Mark Kotanchek, Arthur Kordon
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319342231
- ISBN-13: 9783319342238
- Erscheinungsdatum: 20.12.2016
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 5.54 MB
- Ohne Kopierschutz
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Sprache:
Englisch
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