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Riolo, Rick

Genetic Programming Theory and Practice X

Riolo, Rick - Genetic Programming Theory and Practice X, ebook

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ISBN: 9781461468462
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Table of contents

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

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

Author(s)
 
 
 
Publisher
Springer
Publication year
2013
Language
en
Edition
2013
Series
Genetic and Evolutionary Computation
Page amount
26 pages
Category
Information Technology, Telecommunications
Format
Ebook
eISBN (PDF)
9781461468462

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