Genetic Programming Theory and Practice X (Genetic and Evolutionary Computation)

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: evolutionary constraints, relaxation of selection mechanisms, diversity preservation strategies, flexing fitness evaluation, evolution in dynamic environments, multi-objective and multi-modal selection, foundations of evolvability, evolvable and adaptive evolutionary operators, foundation of injecting expert knowledge in evolutionary search, analysis of problem difficulty and required GP algorithm complexity, foundations in running GP on the cloud – communication, cooperation, flexible implementation, and ensemble methods. Additional focal points for GP symbolic regression are: (1) The need to guarantee convergence to solutions in the function discovery mode; (2) Issues on model validation; (3) The need for model analysis workflows for insight generation based on generated GP solutions – model exploration, visualization, variable selection, dimensionality analysis; (4) Issues in combining different types of data. 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. Evolving SQL Queries from Examples with Developmental Genetic Programming / Thomas Helmuth, Lee Spector -- A Practical Platform for On-Line Genetic Programming for Robotics / Terence Soule, Robert B. Heckendorn -- Cartesian Genetic Programming for Image Processing / Simon Harding, Jürgen Leitner -- A New Mutation Paradigm for Genetic Programming / Christian Darabos, Mario Giacobini, Ting Hu -- Introducing an Age-Varying Fitness Estimation Function / Babak Hodjat, Hormoz Shahrzad -- EC-Star: A Massive-Scale, Hub and Spoke, Distributed Genetic Programming System / Una-May O'Reilly, Mark Wagy, Babak Hodjat -- Genetic Analysis of Prostate Cancer Using Computational Evolution, Pareto-Optimization and Post-processing / Jason H. Moore, Douglas P. Hill -- Meta-Dimensional Analysis of Phenotypes Using the Analysis Tool for Heritable and Environmental Network Associations (ATHENA): Challenges with Building Large Networks / Marylyn D. Ritchie, Emily R. Holzinger -- A Baseline Symbolic Regression Algorithm / Michael F. Korns -- Symbolic Regression Model Comparison Approach Using Transmitted Variation / Flor A. Castillo, Carlos M. Villa -- A Framework for the Empirical Analysis of Genetic Programming System Performance / Oliver Flasch, Thomas Bartz-Beielstein -- More or Less? Two Approaches to Evolving Game-Playing Strategies / Amit Benbassat, Achiya Elyasaf, Moshe Sipper -- Symbolic Regression Is Not Enough: It Takes a Village to Raise a Model / Mark E. Kotanchek, Ekaterina Vladislavleva -- FlexGP.py: Prototyping Flexibly-Scaled, Flexibly-Factored Genetic Programming for the Cloud / James McDermott, Kalyan Veeramachaneni -- Representing Communication and Learning in Femtocell Pilot Power Control Algorithms / Erik Hemberg, Lester Ho, Michael O'Neill.