Genetic Programming Theory and Practice XVII

Lieferzeit: Lieferbar innerhalb 14 Tagen

171,19 

Genetic and Evolutionary Computation

ISBN: 3030399605
ISBN 13: 9783030399603
Herausgeber: Wolfgang Banzhaf/Erik Goodman/Leigh Sheneman et al
Verlag: Springer Verlag GmbH
Umfang: xxvi, 409 S., 30 s/w Illustr., 112 farbige Illustr., 409 p. 142 illus., 112 illus. in color.
Erscheinungsdatum: 08.05.2021
Auflage: 1/2021
Produktform: Kartoniert
Einband: Kartoniert

Provides contributions describing cutting-edge work on the theory and applications of genetic programming (GP)Offers large-scale, real-world applications (big data) of GP to a variety of problem domains, including commercial and scientific applications as well as financial and insurance problemsExplores controlled semantics, lexicase and other selection methods, crossover techniques, diversity analysis and understanding of convergence tendencies

Artikelnummer: 1988691 Kategorie:

Beschreibung

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. In this year's edition, the topics covered include many of the most important issues and research questions in the field, such as: opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and efficient learning strategies, encodings and representations for GP, schema theorems, and new selection mechanisms.The volume includes several chapters on best practices and lessons learned from hands-on experience. 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.

Herstellerkennzeichnung:


Springer Verlag GmbH
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69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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