An Indirect Block-Oriented Representation for Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{brucherseifer:2001:EuroGP,

• author = "Eva Brucherseifer and Peter Bechtel and Stephan Freyer and Peter Marenbach",
• title = "An Indirect Block-Oriented Representation for Genetic Programming",
• booktitle = "Genetic Programming, Proceedings of EuroGP'2001",
• year = "2001",
• editor = "Julian F. Miller and Marco Tomassini and Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and William B. Langdon",
• volume = "2038",
• series = "LNCS",
• pages = "268--279",
• address = "Lake Como, Italy",
• publisher_address = "Berlin",
• month = "18-20 " # apr,
• organisation = "EvoNET",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming, Block-oriented representation, Biotechnology, Process modelling, Controller design, Causality: Poster",
• ISBN = "3-540-41899-7",
• DOI = "doi:10.1007/3-540-45355-5_21",
• size = "12 pages",
• abstract = "When Genetic Programming (GP) is applied to system identification or controller design different codings can be used for internal representation of the individuals. One common approach is a block-oriented representation where nodes of the tree structure directly correspond to blocks in a block diagram. In this paper we present an indirect block-oriented representation, which adopts some aspects of the way humans perform the modelling in order to increase the GP system's performance. A causality measure based on an edit distance is examined to compare the direct an the indirect representation. Finally, results from a real world application of the indirect block-oriented representation are presented.",
• notes = "EuroGP'2001, part of \cite{miller:2001:gp}",

}

Genetic Programming entries for Eva Brucherseifer Peter Bechtel Stephan Freyer Peter Marenbach

Citations