Genetic Programming for Interaction Efficient Supporting in Volunteer Computing Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InCollection{series/sci/BalickiKKP14,

• 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, http://dblp.uni-trier.de/db/series/sci/sci559.html#BalickiKKP14",
• DOI = "doi:10.1007/978-3-319-06883-1_11",
• URL = "http://dx.doi.org/10.1007/978-3-319-06883-1_11",
• URL = "http://dx.doi.org/10.1007/978-3-319-06883-1",
• 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 discussed.",

}

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

Citations