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Controlling Bloat through Parsimonious Elitist Replacement and Spatial Structure

  • Grant Dick
  • Peter A. Whigham
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7831)

Abstract

The concept of bloat — the increase of program size without a corresponding increase in fitness — presents a significant drawback to the application of genetic programming. One approach to controlling bloat, dubbed spatial structure with elitism (SS+E), uses a combination of spatial population structure and local elitist replacement to implicitly constrain unwarranted program growth. However, the default implementation of SS+E uses a replacement scheme that prevents the introduction of smaller programs in the presence of equal fitness. This paper introduces a modified SS+E approach in which replacement is done under a lexicographic parsimony scheme. The proposed model, spatial structure with lexicographic parsimonious elitism (SS+LPE), exhibits an improvement in bloat reduction and, in some cases, more effectively searches for fitter solutions.

Keywords

Genetic Programming Symbolic Regression Program Size Redundant Code Standard Genetic Programming 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Grant Dick
    • 1
  • Peter A. Whigham
    • 1
  1. 1.Department of Information ScienceUniversity of OtagoDunedinNew Zealand

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