Genetic Programming for Interaction Efficient Supporting in Volunteer Computing Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.4020

  author =       "Jerzy Balicki and Waldemar Korlub and 
                 Henryk Krawczyk and Jacek Paluszak",
  title =        "Genetic Programming for Interaction Efficient
                 Supporting in Volunteer Computing Systems",
  booktitle =    "Issues and Challenges in Artificial Intelligence",
  year =         "2014",
  publisher =    "Springer",
  editor =       "Zdzislaw S. Hippe and Juliusz L. Kulikowski and 
                 Teresa Mroczek and Jerzy Wtorek",
  volume =       "559",
  series =       "Studies in Computational Intelligence",
  pages =        "129--139",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-319-06883-1",
  bibdate =      "2015-07-09",
  bibsource =    "DBLP,
  DOI =          "doi:10.1007/978-3-319-06883-1_11",
  URL =          "",
  URL =          "",
  size =         "11 pages",
  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

Genetic Programming entries for Jerzy Balicki Waldemar Korlub Henryk Krawczyk Jacek Paluszak