On Representation and Genetic Operators in Evolutionary Algorithms
Created by W.Langdon from
gp-bibliography.bib Revision:1.8129
- @TechReport{oai:CiteSeerPSU:323494,
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author = "Stefan Droste and Dirk Wiesmann",
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title = "On Representation and Genetic Operators in
Evolutionary Algorithms",
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institution = "Collaborative Research Center 531, University of
Dortmund",
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year = "1998",
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type = "Computational Intelligence",
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number = "CI-41/98",
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address = "Germany",
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month = jul,
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keywords = "genetic algorithms, genetic programming",
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URL = "
https://eldorado.uni-dortmund.de/bitstream/2003/5341/2/ci4198_doc.pdf",
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URL = "
http://citeseer.ist.psu.edu/323494.html",
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annote = "The Pennsylvania State University CiteSeer Archives",
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language = "en",
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oai = "oai:CiteSeerPSU:323494",
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rights = "unrestricted",
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abstract = "The application of evolutionary algorithms (EAs)
requires as a basic design decision the choice of a
suitable representation of the variable space and
appropriate genetic operators. In practice mainly
problemspecific representations with specific genetic
operators and miscellaneous extensions can be observed.
In this connection it attracts attention that hardly
any formal requirements on the genetic operators are
stated. In this article we first formalize the
representation problem and then propose a package of
requirements to guide the design of genetic operators.
By the definition of distance measures on the geno- and
phenotype space it is possible to integrate
problem-specific knowledge into the genetic operators.
As an example we show how this package of requirements
can be used to design a genetic programming (GP) system
for finding Boolean functions.",
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size = "34 pages",
- }
Genetic Programming entries for
Stefan Droste
Dirk Wiesmann
Citations
