© 2015

Genetic Programming Theory and Practice XII

  • Rick Riolo
  • William P. Worzel
  • Mark Kotanchek


  • Provides papers describing cutting-edge work on genetic programming theory, applications of GP and theory

  • Offers large-scale, real-world applications of GP to a variety of problem domains, from financial engineering to analog circuit design

  • Based on cutting edge applications and the latest in theoretical results


Part of the Genetic and Evolutionary Computation book series (GEVO)

Table of contents

  1. Front Matter
    Pages i-xii
  2. William La Cava, Lee Spector
    Pages 37-51
  3. William P. Worzel, Duncan MacLean
    Pages 53-71
  4. Luiz Otávio V.B. Oliveira, Fernando E.B. Otero, Gisele L. Pappa, Julio Albinati
    Pages 73-90
  5. Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, Bogdan Burlacu, Stefan Wagner
    Pages 91-107
  6. Mauro Castelli, Leonardo Vanneschi, Sara Silva, Stefano Ruberto
    Pages 133-148
  7. Karthik Kannappan, Lee Spector, Moshe Sipper, Thomas Helmuth, William La Cava, Jake Wisdom et al.
    Pages 149-166
  8. Back Matter
    Pages 181-182

About this book


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: gene expression regulation, novel genetic models for glaucoma, inheritable epigenetics, combinators in genetic programming, sequential symbolic regression, system dynamics, sliding window symbolic regression, large feature problems, alignment in the error space, HUMIE winners, Boolean multiplexer function, and highly distributed genetic programming systems. Application areas include chemical process control, circuit design, financial data mining and bioinformatics. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.


Artificial evolution Evolution of models Feature selection Genetic programming Genetic programming applications Genetic programming theory Program induction Symbolic regression

Editors and affiliations

  • Rick Riolo
    • 1
  • William P. Worzel
    • 2
  • Mark Kotanchek
    • 3
  1. 1.Center for the Study of Complex Systems (CSCS)University of MichiganAnn ArborUSA
  2. 2.Evolution EnterprisesMilanUSA
  3. 3.Evolved AnalyticsMidlandUSA

Bibliographic information

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