Optimization of the Throughput of Computer Network Based on Parallel EA

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@InProceedings{Rukovansky:2009:WCECS,

• author = "Imrich Rukovansky",
• title = "Optimization of the Throughput of Computer Network Based on Parallel EA",
• booktitle = "International Conference on Soft Computing and Applications, Proceedings of the World Congress on Engineering and Computer Science, WCECS 2009",
• year = "2009",
• editor = "S. I. Ao and Craig Douglas and W. S. Grundfest and Jon Burgston",
• volume = "2",
• pages = "1038--1043",
• address = "San Francisco, USA",
• month = oct # " 20-22",
• organisation = "International Association of Engineers",
• publisher = "Newswood Limited",
• keywords = "genetic algorithms, genetic programming, grammatical evolution, computer networks, parallel evolution",
• isbn13 = "978-988-18210-2-7",
• annote = "The Pennsylvania State University CiteSeerX Archives",
• bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
• language = "en",
• oai = "oai:CiteSeerX.psu:10.1.1.452.6352",
• 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",
• URL = "http://www.iaeng.org/publication/WCECS2009/WCECS2009_pp1038-1043.pdf",
• 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.",
• notes = "http://www.iaeng.org/publication/WCECS2009/",

}

Genetic Programming entries for I Rukovansky

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