abstract = "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, behavioural 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",