Genetic Programming Theory and Practice XIII

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Éditeur :

Springer


Collection :

Genetic and Evolutionary Computation

Paru le : 2016-12-20

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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: 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.

Pages
262 pages
Collection
Genetic and Evolutionary Computation
Parution
2016-12-20
Marque
Springer
EAN papier
9783319342214
EAN PDF
9783319342238

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
26
Taille du fichier
5673 Ko
Prix
94,94 €
EAN EPUB
9783319342238

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
26
Taille du fichier
2601 Ko
Prix
94,94 €