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Maintaining the Diversity of Genetic Programs

  • Anikó Ekárt
  • Németh Sandor Z. 
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2278)

Abstract

The loss of genetic diversity in evolutionary algorithms may lead to suboptimal solutions. Many techniques have been developed for maintaining diversity in genetic algorithms, but few investigations have been done for genetic programs. We define here a diversity measure for genetic programs based on our metric for genetic trees [3]. We use this distance measure for studying the effects of fitness sharing. We then propose a method for adaptively maintaining the diversity of a population during evolution.

Keywords

Genetic Program Diversity Measure Neighbourhood Size Edit Distance Editing Operation 
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 2002

Authors and Affiliations

  • Anikó Ekárt
    • 1
  • Németh Sandor Z. 
    • 2
  1. 1.School of Computer ScienceThe University of BirminghamBirminghamUK
  2. 2.Computer and Automation Research InstituteHungarian Academy of SciencesBudapestHungary

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