Genetic Programming Theory and Practice VII

1. GPTP 2009: An Example of Evolvability
Una-May O’Reilly, Trent McConaghy, Rick Riolo

2. Environmental Sensing of Expert Knowledge in a Computational Evolution System for Complex Problem Solving in Human Genetics
Casey S. Greene, Douglas P. Hill, Jason H. Moore

3. Evolving Coevolutionary Classifiers Under Large Attribute Spaces
John Doucette, Peter Lichodzijewski, Malcolm Heywood

4. Symbolic Regression Via Genetic Programming as a Discovery Engine: Insights on Outliers and Prototypes
Mark E. Kotanchek, Ekaterina Y. Vladislavleva, Guido F. Smits

5. Symbolic Regression of Implicit Equations
Michael Schmidt, Hod Lipson

6. A Steady-State Version of the Age-Layered Population Structure EA
Gregory S. Hornby

7. Latent Variable Symbolic Regression for High-Dimensional Inputs
Trent McConaghy

8. Algorithmic Trading with Developmental and Linear Genetic Programming
Garnett Wilson, Wolfgang Banzhaf

9. High-Significance Averages of Event-Related Potential Via Genetic Programming
Luca Citi, Riccardo Poli, Caterina Cinel

10. Using Multi-Objective Genetic Programming to Synthesize Stochastic Processes
Brian Ross, Janine Imada

11. Graph Structured Program Evolution: Evolution of Loop Structures
Shinichi Shirakawa, Tomoharu Nagao

12. A Functional Crossover Operator for Genetic Programming
Josh Bongard

13. Symbolic Regression of Conditional Target Expressions
Michael F. Korns

Avainsanat: Computer Science, Computing Methodologies, Artificial Intelligence (incl. Robotics), Theory of Computation, Algorithm Analysis and Problem Complexity, Programming Techniques