On the Effectiveness of Genetic Operations in Symbolic Regression

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Abstract

This paper describes a methodology for analyzing the evolutionary dynamics of genetic programming (GP) using genealogical information, diversity measures and information about the fitness variation from parent to offspring. We introduce a new subtree tracing approach for identifying the origins of genes in the structure of individuals, and we show that only a small fraction of ancestor individuals are responsible for the evolvement of the best solutions in the population.
Original languageEnglish
Title of host publicationComputer Aided Systems Theory – EUROCAST 2015 - 15th International Conference, Revised Selected Papers
EditorsFranz Pichler, Roberto Moreno-Díaz, Alexis Quesada-Arencibia
PublisherSpringer
Pages367-374
Number of pages8
ISBN (Print)9783319273396
DOIs
Publication statusPublished - 2015
Event15th International Conference on Computer Aided Systems Theory, Eurocast 2015 - Las Palmas, Gran Canaria, Spain
Duration: 8 Feb 201513 Feb 2015
http://eurocast2015.fulp.ulpgc.es/

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9520
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Computer Aided Systems Theory, Eurocast 2015
CountrySpain
CityLas Palmas, Gran Canaria
Period08.02.201513.02.2015
Internet address

Keywords

  • Genetic programming
  • evolutionary dynamics
  • algorithm analysis
  • symbolic regression
  • Symbolic regression
  • Evolutionary dynamics
  • Algorithm analysis

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