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. In this
year's edition, the topics covered include many of the most important
issues and research questions in the field, such as: opportune
application domains for GP-based methods, game playing and
co-evolutionary search, symbolic regression and efficient learning
strategies, encodings and representations for GP, schema theorems, and
new selection mechanisms.The volume includes several chapters on best
practices and lessons learned from hands-on experience. 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.