ENGLISH

Genetic Programming Theory and Practice XIII

By Rick Riolo , W.P. Worzel , Mark Kotanchek , Arthur Kordon (eds.)

Book information

Publisher
Springer International Publishing
Year
2016
ISBN
978-3-319-34221-4, 978-3-319-34223-8
DOI
10.1007/978-3-319-34223-8
Language
english
Format
PDF
Filesize
5 MB (5741901 bytes)
Series
Genetic and Evolutionary Computation
Edition
1
Pages
XX, 262\272
Time added
2016-12-28 02:00:00
Artificial Intelligence (incl. Robotics);ComputatiManagement Science

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.

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