Genetic Programming Theory and Practice XIII (Paperback, Softcover reprint of the original 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Genetic and Evolutionary Computation
Release date:	July 2018
First published:	2016
Editors:	Rick Riolo • W P Worzel • Mark Kotanchek • Arthur Kordon
Dimensions:	235 x 155 x 15mm (L x W x T)
Format:	Paperback
Pages:	262
Edition:	Softcover reprint of the original 1st ed. 2016
ISBN-13:	978-3-319-81706-4
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-81706-X
Barcode:	9783319817064

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