Genetic Programming Theory and Practice XVI

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Éditeur :

Springer


Collection :

Genetic and Evolutionary Computation

Paru le : 2019-01-23

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Description


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: evolving developmental programs for neural networks solving multiple problems, tangled program, transfer learning and outlier detection using GP, program search for machine learning pipelines in reinforcement learning, automatic programming with GP, new variants of GP, like SignalGP, variants of lexicase selection, and symbolic regression and classification techniques. 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.

Pages
234 pages
Collection
Genetic and Evolutionary Computation
Parution
2019-01-23
Marque
Springer
EAN papier
9783030047344
EAN PDF
9783030047351

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
23
Taille du fichier
6103 Ko
Prix
137,14 €
EAN EPUB
9783030047351

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
23
Taille du fichier
24975 Ko
Prix
137,14 €