Optimization of the Throughput of Computer Network Based on Parallel EA
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Rukovansky:2009:WCECS,
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author = "Imrich Rukovansky",
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title = "Optimization of the Throughput of Computer Network
Based on Parallel EA",
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booktitle = "International Conference on Soft Computing and
Applications, Proceedings of the World Congress on
Engineering and Computer Science, WCECS 2009",
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year = "2009",
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editor = "S. I. Ao and Craig Douglas and W. S. Grundfest and
Jon Burgston",
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volume = "2",
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pages = "1038--1043",
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address = "San Francisco, USA",
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month = oct # " 20-22",
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organisation = "International Association of Engineers",
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publisher = "Newswood Limited",
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keywords = "genetic algorithms, genetic programming, grammatical
evolution, computer networks, parallel evolution",
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isbn13 = "978-988-18210-2-7",
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annote = "The Pennsylvania State University CiteSeerX Archives",
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bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
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language = "en",
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oai = "oai:CiteSeerX.psu:10.1.1.452.6352",
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rights = "Metadata may be used without restrictions as long as
the oai identifier remains attached to it.",
-
URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.452.6352",
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URL = "http://www.iaeng.org/publication/WCECS2009/WCECS2009_pp1038-1043.pdf",
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abstract = "Evolution (PGE) that can be together with clustering
used for a improvement of the throughput of computer
networks. To increase the efficiency of Grammatical
Evolution (GE) the influence of backward processing was
tested. The significance of backward coding (BC) and
the comparison with standard coding of GEs is
presented. BC can speed up Grammatical Evolution with
high quality features. The adaptive significance of
Parallel Grammatical Evolution with male and female
populations has been studied.",
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notes = "http://www.iaeng.org/publication/WCECS2009/",
- }
Genetic Programming entries for
I Rukovansky
Citations