Bogdan Burlacu, Michael Affenzeller, Michael Kommenda,
"On the Effectiveness of Genetic Operations in Symbolic Regression"
, in R. Moreno-Diaz, F.Pichler, A. Quesada-Arencibia (Eds.): Lecture Notes in Computer Science, in Lecture Notes in Computer Science (LNCS 9520), Serie LNCS, Nummer 9520, Springer, Seite(n) 367-374, 2015, ISBN: 978-3-319-27339-6, ISSN: 0302-9743
Original Titel:
On the Effectiveness of Genetic Operations in Symbolic Regression
Sprache des Titels:
Englisch
Original Buchtitel:
Lecture Notes in Computer Science
Original Kurzfassung:
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.
Forschungs-