Genetic Programming Theory and Practice XVII

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Éditeur :

Springer


Collection :

Genetic and Evolutionary Computation

Paru le : 2020-05-07

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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.  In this year’s edition, the topics covered include many of the most important issues and research questions in the ?eld, such as: opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and ef?cient 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.



Pages
409 pages
Collection
Genetic and Evolutionary Computation
Parution
2020-05-07
Marque
Springer
EAN papier
9783030399573
EAN PDF
9783030399580

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
40
Taille du fichier
11244 Ko
Prix
158,24 €
EAN EPUB
9783030399580

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
40
Taille du fichier
38533 Ko
Prix
158,24 €