Multi-Level Grammar Genetic Programming for Scheduling in Heterogeneous Networks

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Takfarinas Saber and David Fagan and David Lynch and 
                 Stepan Kucera and Holger Claussen and Michael O'Neill",
  title =        "Multi-Level Grammar Genetic Programming for Scheduling
                 in Heterogeneous Networks",
  booktitle =    "EuroGP 2018: Proceedings of the 21st European
                 Conference on Genetic Programming",
  year =         "2018",
  month =        "4-6 " # apr,
  editor =       "Mauro Castelli and Lukas Sekanina and 
                 Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez",
  series =       "LNCS",
  volume =       "10781",
  publisher =    "Springer Verlag",
  address =      "Parma, Italy",
  pages =        "118--134",
  organisation = "EvoStar, Species",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-319-77552-4",
  DOI =          "doi:10.1007/978-3-319-77553-1_8",
  abstract =     "Co-ordination of Inter-Cell Interference through
                 scheduling enables telecommunication companies to
                 better exploit their Heterogeneous Networks. However,
                 it requires from these entities to implement an
                 effective scheduling algorithm. The state-of-the-art
                 for the scheduling in Heterogeneous Networks is a
                 Grammar-Guided Genetic Programming algorithm which
                 evolves, from a given grammar, an expression that maps
                 to the scheduling of transmissions. We evaluate in our
                 work the possibility of improving the results obtained
                 by the state-of-the-art using a layered grammar
                 approach. We show that starting with a small restricted
                 grammar and introducing the full functionality after 10
                 generations outperforms the state-of-the-art, even when
                 varying the algorithm used to generate the initial
                 population and the maximum initial tree depth.",
  notes =        "Part of \cite{Castelli:2018:GP} EuroGP'2018 held in
                 conjunction with EvoCOP2018, EvoMusArt2018 and

Genetic Programming entries for Takfarinas Saber David Fagan David Lynch Stepan Kucera Holger Claussen Michael O'Neill