Genetic Programming Theory and Practice XI

"This volume is a collection of 12 papers ... authored by leading theorists and practitioners of GP, and submitted for the Genetic Programming Theory and Practice (GPTP) workshop held at the University of Michigan on May 9-11, 2013. This collection will interest GP researchers and practitioners with sufficient background in artificial intelligence, evolved analytics, and smart systems." (Anoop Malaviya, Computing Reviews, December, 2015)

• Extreme Accuracy in Symbolic Regression.- Exploring Interestingness in a Computational Evolution System for the Genome-Wide Genetic Analysis of Alzheimer's Disease.- Optimizing a Cloud Contract Portfolio using Genetic Programming-based Load Models.- Maintenance of a Long Running Distributed Genetic Programming System for Solving Problems Requiring Big Data.- Grounded Simulation: Using Simulated Evolution to Guide Embodied Evolution.- Applying Genetic Programming in Business Forecasting.- Explaining Unemployment Rates with Symbolic Regression.- Uniform Linear Transformation with Repair and Alternation in Genetic Programming.- A Deterministic and Symbolic Regression Hybrid Applied to Resting-State fMRI Data.- Gaining Deeper Insights in Symbolic Regression.- Geometric Semantic Genetic Programming for Real Life Applications.- Evaluation of Parameter Contribution to Neural Network Size and Fitness in ATHENA for Genetic Analysis.