Genetic programming theory and practice X

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: evo...

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Corporate Authors: Workshop on Genetic Programming, Theory and Practice Ann Arbor, Mich.)
Other Authors: Workshop on Genetic Programming, Theory and Practice, Riolo, Rick., SpringerLink (Online service)
Format: eBook
Language: English
Published: New York : Springer, ©2013.
New York : [2013]
Physical Description: 1 online resource (xxviii, 247 pages) : illustrations.
Series: Genetic and evolutionary computation series.
Subjects:
Table of Contents:
  • 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.