Effective Linear Genetic Programming

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@TechReport{oai:CiteSeerPSU:488546,

• title = "Effective Linear Genetic Programming",
• author = "Markus Brameier and Wolfgang Banzhaf",
• citeseer-isreferencedby = "oai:CiteSeerPSU:75403",
• citeseer-references = "oai:CiteSeerPSU:46478; oai:CiteSeerPSU:271953; oai:CiteSeerPSU:349518",
• annote = "The Pennsylvania State University CiteSeer Archives",
• language = "en",
• oai = "oai:CiteSeerPSU:488546",
• rights = "unrestricted",
• institution = "Department of Computer Science, University of Dortmund",
• year = "2001",
• number = "Reihe CI 108/01, SFB 531",
• address = "44221 Dortmund, Germany",
• month = "29 " # oct,
• keywords = "genetic algorithms, genetic programming",
• broken = "http://sfbci.uni-dortmund.de/index.php?option=com_wrapper&Itemid=180&lang=en",
• URL = "http://hdl.handle.net/2003/5407",
• URL = "http://sfbci.uni-dortmund.de/Publications/Reference/Downloads/BB09052001.pdf",
• URL = "http://citeseer.ist.psu.edu/488546.html",
• DOI = "doi:10.17877/DE290R-15250",
• size = "15 pages",
• 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.",
• size = "pages",

}

Genetic Programming entries for Markus Brameier Wolfgang Banzhaf

Citations