- author = "Wolfgang Kantschik and Peter Dittrich and Markus Brameier and Wolfgang Banzhaf",
- title = "Meta-Evolution in Graph GP",
- booktitle = "Genetic Programming, Proceedings of EuroGP'99",
- year = "1999",
- editor = "Riccardo Poli and Peter Nordin and William B. Langdon and Terence C. Fogarty",
- volume = "1598",
- series = "LNCS",
- pages = "15--28",
- address = "Goteborg, Sweden",
- publisher_address = "Berlin",
- month = "26-27 " # may,
- organisation = "EvoNet",
- publisher = "Springer-Verlag",
- keywords = "genetic algorithms, genetic programming",
- ISBN = "3-540-65899-8",
-
URL = "
http://ls11-www.informatik.uni-dortmund.de/people/wkantsch/Publications/metaEuroGP99.ps.gz",
-
URL = "
http://citeseer.ist.psu.edu/475739.html",
-
DOI = "
10.1007/3-540-48885-5_2",
- abstract = "In this contribution we introduce the evolution of operators for Genetic Programming by means of Genetic Programming. Specifically, meta-evolution of recombination operators in graph-based GP is applied and compared to other methods for the variation of recombination operators in graph-based GP. We demonstrate that a straightforward application of recombination operators onto themselves does not work well. After introducing an additional level of recombination operators (the meta level) which are recombining a pool of recombination operators, even self-recombination on the additional becomes feasible. We show that the overall performance of this system is better than in other variants of graph GP. As a test problem we use speaker recognition",
-
notes = "EuroGP'99, part of \cite{poli:1999:GP}
Genome is a graph. Evolves genetic operators (also represented as graphs) which act on the graphs.",
