Genetic Algorithms Survival of the Fittest: Natural Selection with Windows Forms
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{Connolly:2004:MSDN,
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author = "Brian Connolly",
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title = "Genetic Algorithms Survival of the Fittest: Natural
Selection with Windows Forms",
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journal = "MSDN Magazine",
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year = "2004",
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volume = "19",
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number = "8",
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month = aug,
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publisher = "Microsoft",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://msdn.microsoft.com/en-gb/magazine/cc163934.aspx",
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URL = "http://download.microsoft.com/download/3/a/7/3a7fa450-1f33-41f7-9e6d-3aa95b5a6aea/MSDNMagazineAugust2004en-us.chm",
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URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Connolly_2004_MSDN.pdf",
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size = "16 pages",
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abstract = "Genetic Programming is an evolutionary algorithm that
employs reproduction and natural selection to breed
better and better executable computer programs. It can
create programs that implement subtle, non-intuitive
solutions to complex problems. By taking a well-known
example from the Genetic Programming community and
implementing it with the .NET Framework, this article
demonstrates that CodeDOM and Reflection provide all
the facilities that are needed to do Genetic
Programming effectively
This article discusses:
* Genetic programming definition
* Breeding new algorithm generations
* Cross breeding
* Mutations
* Increasing fitness",
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notes = "Santa Fe ant trail. .net Reflection CodeDOM.
.chm Microsoft Compiled HTML Help documented by
https://en.wikipedia.org/wiki/Microsoft_Compiled_HTML_Help
Connolly_2004_MSDN.pdf created from
MSDNMagazineAugust2004en-us.chm using print to file and
then ps2pdf but figures are missing from pdf.",
- }
Genetic Programming entries for
Brian Connolly
Citations