An Algorithmic Chemistry for Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{eurogp:LasarczykB05,
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author = "Christian Lasarczyk and Wolfgang Banzhaf",
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editor = "Maarten Keijzer and Andrea Tettamanzi and
Pierre Collet and Jano I. {van Hemert} and Marco Tomassini",
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title = "An Algorithmic Chemistry for Genetic Programming",
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booktitle = "Proceedings of the 8th European Conference on Genetic
Programming",
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publisher = "Springer",
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series = "Lecture Notes in Computer Science",
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volume = "3447",
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year = "2005",
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address = "Lausanne, Switzerland",
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month = "30 " # mar # " - 1 " # apr,
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organisation = "EvoNet",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-25436-6",
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pages = "1--12",
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URL = "http://ls11-www.cs.uni-dortmund.de/downloads/papers/LaBa05.pdf",
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DOI = "doi:10.1007/978-3-540-31989-4_1",
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DOI = "doi:10.1007/b107383",
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bibsource = "DBLP, http://dblp.uni-trier.de",
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abstract = "Genetic Programming has been slow at realizing other
programming paradigms than conventional, deterministic,
sequential von- Neumann type algorithms. In this
contribution we discuss a new method of execution of
programs introduced recently: Algorithmic Chemistries.
Therein, register machine instructions are executed in
a non-deterministic order, following a probability
distribution. Program behaviour is thus highly
dependent on frequency of instructions and connectivity
between registers. Here we demonstrate the performance
of GP on evolving solutions to a parity problem in a
system of this type.",
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notes = "Part of \cite{keijzer:2005:GP} EuroGP'2005 held in
conjunction with EvoCOP2005 and EvoWorkshops2005",
- }
Genetic Programming entries for
Christian W G Lasarczyk
Wolfgang Banzhaf
Citations