On the Effectiveness of Genetic Operations in Symbolic Regression

Bogdan Burlacu, Michael Affenzeller, Michael Kommenda

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

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, Las Palmas de Gran Canaria, Spain, February 8-13, 2015, Revised Selected Papers
Editors R. Moreno-Diaz, F.Pichler, A. Quesada-Arencibia
PublisherSpringer
Pages367-374
Number of pages8
Volume9520
ISBN (Print)978-3-319-27339-6
Publication statusPublished - 2015

Publication series

NameLecture Notes in Computer Science (LNCS)
ISSN (Print)0302-9743

Fields of science

  • 102 Computer Sciences
  • 603109 Logic
  • 202006 Computer hardware

JKU Focus areas

  • Computation in Informatics and Mathematics

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