Introducing a Perl Genetic Programming System: and Can Meta-evolution Solve the Bloat Problem?

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{maccallum03,

• author = "Robert M. MacCallum",
• title = "Introducing a Perl Genetic Programming System: and Can Meta-evolution Solve the Bloat Problem?",
• booktitle = "Genetic Programming, Proceedings of EuroGP'2003",
• year = "2003",
• editor = "Conor Ryan and Terence Soule and Maarten Keijzer and Edward Tsang and Riccardo Poli and Ernesto Costa",
• volume = "2610",
• series = "LNCS",
• pages = "364--373",
• address = "Essex",
• publisher_address = "Berlin",
• month = "14-16 " # apr,
• organisation = "EvoNet",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming: Poster",
• ISBN = "3-540-00971-X",
• URL = "http://www.sbc.su.se/~maccallr/publications/perlgp_eurogp2003.pdf",
• DOI = "doi:10.1007/3-540-36599-0_34",
• abstract = "An open source Perl package for genetic programming, called PerlGP, is presented. The supplied algorithm is strongly typed tree-based GP with homologous crossover. User-defined grammars allow any valid Perl to be evolved, including object oriented code and parameters of the PerlGP system itself. Time trials indicate that PerlGP is around 10 times slower than a C based system on a numerical problem, but this is compensated by the speed and ease of implementing new problems, particularly string-based ones. The effect of per-node, fixed and self-adapting crossover and mutation rates on code growth and fitness is studied. On a pi estimation problem, self-adapting rates give both optimal and compact solutions. The source code and manual can be found at http://perlgp.org. (Broken Sep 2019) See \cite{maccallum:2003:perlgp}",
• notes = "EuroGP'2003 held in conjunction with EvoWorkshops 2003",

}

Genetic Programming entries for Robert M MacCallum

Citations