Effective Linear Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @TechReport{oai:CiteSeerPSU:488546,
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title = "Effective Linear Genetic Programming",
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author = "Markus Brameier and Wolfgang Banzhaf",
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citeseer-isreferencedby = "oai:CiteSeerPSU:75403",
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citeseer-references = "oai:CiteSeerPSU:46478; oai:CiteSeerPSU:271953;
oai:CiteSeerPSU:349518",
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annote = "The Pennsylvania State University CiteSeer Archives",
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language = "en",
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oai = "oai:CiteSeerPSU:488546",
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rights = "unrestricted",
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institution = "Department of Computer Science, University of
Dortmund",
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year = "2001",
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number = "Reihe CI 108/01, SFB 531",
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address = "44221 Dortmund, Germany",
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month = "29 " # oct,
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keywords = "genetic algorithms, genetic programming",
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broken = "http://sfbci.uni-dortmund.de/index.php?option=com_wrapper&Itemid=180&lang=en",
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URL = "http://hdl.handle.net/2003/5407",
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URL = "http://sfbci.uni-dortmund.de/Publications/Reference/Downloads/BB09052001.pdf",
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URL = "http://citeseer.ist.psu.edu/488546.html",
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DOI = "doi:10.17877/DE290R-15250",
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size = "15 pages",
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abstract = "Different variants of genetic operators are introduced
and compared for linear genetic programming including
program induction without crossover. Variation strength
of crossover and mutations is controlled based on the
genetic code. Effectivity of genetic operations
improves on code level and on fitness level. Thereby
algorithms for creating code efficient solutions are
presented.",
- }
Genetic Programming entries for
Markus Brameier
Wolfgang Banzhaf
Citations