Genetic Programming Theory and Practice IX edited by Rick Riolo, Ekaterina Vladislavleva, Jason H. Moore.

Genetic Programming Theory and Practice IX

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 include: modularity and sca...

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Bibliographic Details
Main Author: Riolo, Rick
Corporate Author: SpringerLink (Online service)
Other Authors: Vladislavleva, Ekaterina, Moore, Jason H.
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York, 2011.
Series:Genetic and evolutionary computation series.
Subjects:
Computer science.
Information theory.
Computer software.
Artificial intelligence.
Online Access: Full text (Wentworth users only).
Table of Contents:
  • What’s in an evolved name? The evolution of modularity via tag-based Reference
  • Let the Games Evolve!
  • Novelty Search and the Problem with Objectives
  • A fine-grained view of phenotypes and locality in genetic programming
  • Evolution of an Effective Brain-Computer Interface Mouse via Genetic Programming with Adaptive Tarpeian Bloat Control
  • Improved Time Series Prediction and Symbolic Regression with Affine Arithmetic
  • Computational Complexity Analysis of Genetic Programming – Initial Results and Future Directions
  • Accuracy in Symbolic Regression
  • Human-Computer Interaction in a Computational Evolution System for the Genetic Analysis of Cancer
  • Baseline Genetic Programming: Symbolic Regression on Benchmarks for Sensory Evaluation Modeling
  • Detecting Shadow Economy Sizes With Symbolic Regression
  • The Importance of Being Flat – Studying the Program Length Distributions of Operator Equalisation
  • FFX: Fast, Scalable, Deterministic Symbolic Regression Technology.

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