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Title Genetic Programming Theory and Practice XIII / edited by Rick Riolo, W.P. Worzel, Mark Kotanchek, Arthur Kordon.

Published Cham : Springer International Publishing : Imprint : Springer, 2016.

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Location Call No. Status
 UniM INTERNET resource    AVAILABLE
Physical description 1 online resource (XX, 262 pages 69 illustrations, 31 illustrations in color.) : online resource.
Series Genetic and Evolutionary Computation, 1932-0167
Genetic and evolutionary computation series, 1932-0167
Springer English/International eBooks 2016 - Full Set
Contents Evolving Simple Symbolic Regression Models by Multi-objective Genetic Programming -- Learning Heuristics for Mining RNA Sequence-Structure Motifs -- Kaizen Programming for Feature Construction for Classification -- GP as if You Meant It: An Exercise for Mindful Practice -- nPool: Massively Distributed Simultaneous Evolution and Cross-Validation in EC-Star -- Highly Accurate Symbolic Regression with Noisy Training Data -- Using Genetic Programming for Data Science: Lessons Learned -- The Evolution of Everything (EvE) and Genetic Programming -- Lexicase selection for program synthesis: a Diversity Analysis -- Using Graph Databases to Explore the Dynamics of Genetic Programming Runs -- Predicting Product Choice with Symbolic Regression and Classification -- Multiclass Classification Through Multidimensional Clustering -- Prime-Time: Symbolic Regression takes its place in the Real World.
Summary 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.
Other author Riolo, Rick, editor.
Worzel, W. P., editor.
Kotanchek, Mark, editor.
Kordon, Arthur, editor.
SpringerLink issuing body.
Subject Computer science.
Algorithms.
Artificial intelligence.
Operations research.
Management science.
Computational intelligence.
Electronic books.
Conference papers and proceedings.
ISBN 9783319342238
3319342231
9783319342214
Standard Number 10.1007/978-3-319-34223-8