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: gene expression regulation, novel genetic models
for glaucoma, inheritable epigenetics, combinators in genetic
programming, sequential symbolic regression, system dynamics, sliding
window symbolic regression, large feature problems, alignment in the
error space, HUMIE winners, Boolean multiplexer function, and highly
distributed genetic programming systems. Application areas include
chemical process control, circuit design, financial data mining and
bioinformatics. 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.