Genetic Programming for Interaction Efficient Supporting in Volunteer Computing Systems
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @InCollection{series/sci/BalickiKKP14,
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author = "Jerzy Balicki and Waldemar Korlub and
Henryk Krawczyk and Jacek Paluszak",
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title = "Genetic Programming for Interaction Efficient
Supporting in Volunteer Computing Systems",
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booktitle = "Issues and Challenges in Artificial Intelligence",
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year = "2014",
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publisher = "Springer",
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editor = "Zdzislaw S. Hippe and Juliusz L. Kulikowski and
Teresa Mroczek and Jerzy Wtorek",
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volume = "559",
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series = "Studies in Computational Intelligence",
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pages = "129--139",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-319-06883-1",
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bibdate = "2015-07-09",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/series/sci/sci559.html#BalickiKKP14",
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DOI = "doi:10.1007/978-3-319-06883-1_11",
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URL = "http://dx.doi.org/10.1007/978-3-319-06883-1_11",
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URL = "http://dx.doi.org/10.1007/978-3-319-06883-1",
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size = "11 pages",
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abstract = "Volunteer computing systems provide a middleware for
interaction between project owners and great number
volunteers. In this chapter, a genetic programming
paradigm has been proposed to a multi-objective
scheduler design for efficient using some resources of
volunteer computers via the web. In a studied problem,
genetic scheduler can optimise both a workload of a
bottleneck computer and cost of system. Genetic
programming has been applied for finding the Pareto
solutions by applying an immunological procedure.
Finally, some numerical experiment outcomes have been
discussed.",
- }
Genetic Programming entries for
Jerzy Balicki
Waldemar Korlub
Henryk Krawczyk
Jacek Paluszak
Citations