Riolo, Rick
Genetic Programming Theory and Practice X
1. Evolving SQL Queries from Examples with Developmental Genetic Programming
Thomas Helmuth, Lee Spector
2. A Practical Platform for On-Line Genetic Programming for Robotics
Terence Soule, Robert B. Heckendorn
3. Cartesian Genetic Programming for Image Processing
Simon Harding, Jürgen Leitner, Jürgen Schmidhuber
4. A New Mutation Paradigm for Genetic Programming
Christian Darabos, Mario Giacobini, Ting Hu, Jason H. Moore
5. Introducing an Age-Varying Fitness Estimation Function
Babak Hodjat, Hormoz Shahrzad
6. EC-Star: A Massive-Scale, Hub and Spoke, Distributed Genetic Programming System
Una-May O’Reilly, Mark Wagy, Babak Hodjat
7. Genetic Analysis of Prostate Cancer Using Computational Evolution, Pareto-Optimization and Post-processing
Jason H. Moore, Douglas P. Hill, Arvis Sulovari, La Creis Kidd
8. 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, Scott M. Dudek, Alex T. Frase, Prabhakar Chalise, Brooke Fridley
9. A Baseline Symbolic Regression Algorithm
Michael F. Korns
10. Symbolic Regression Model Comparison Approach Using Transmitted Variation
Flor A. Castillo, Carlos M. Villa, Arthur K. Kordon
11. A Framework for the Empirical Analysis of Genetic Programming System Performance
Oliver Flasch, Thomas Bartz-Beielstein
12. More or Less? Two Approaches to Evolving Game-Playing Strategies
Amit Benbassat, Achiya Elyasaf, Moshe Sipper
13. Symbolic Regression Is Not Enough: It Takes a Village to Raise a Model
Mark E. Kotanchek, Ekaterina Vladislavleva, Guido Smits
14. FlexGP.py: Prototyping Flexibly-Scaled, Flexibly-Factored Genetic Programming for the Cloud
James McDermott, Kalyan Veeramachaneni, Una-May O’Reilly
15. Representing Communication and Learning in Femtocell Pilot Power Control Algorithms
Erik Hemberg, Lester Ho, Michael O’Neill, Holger Claussen
Nyckelord: Computer Science, Artificial Intelligence (incl. Robotics), Theory of Computation, Algorithm Analysis and Problem Complexity, Programming Techniques
- Författare
- Riolo, Rick
- Vladislavleva, Ekaterina
- Ritchie, Marylyn D
- Moore, Jason H.
- Utgivare
- Springer
- Utgivningsår
- 2013
- Språk
- en
- Utgåva
- 2013
- Serie
- Genetic and Evolutionary Computation
- Sidantal
- 26 sidor
- Kategori
- Datateknik, Datakommunikation
- Format
- E-bok
- eISBN (PDF)
- 9781461468462