Program Optimisation with Dependency Injection

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{mcdermott:2013:EuroGP,
  author =       "James McDermott and Paula Carroll",
  title =        "Program Optimisation with Dependency Injection",
  booktitle =    "Proceedings of the 16th European Conference on Genetic
                 Programming, EuroGP 2013",
  year =         "2013",
  month =        "3-5 " # apr,
  editor =       "Krzysztof Krawiec and Alberto Moraglio and Ting Hu and 
                 A. Sima Uyar and Bin Hu",
  series =       "LNCS",
  volume =       "7831",
  publisher =    "Springer Verlag",
  address =      "Vienna, Austria",
  pages =        "133--144",
  organisation = "EvoStar",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-642-37206-3",
  DOI =          "doi:10.1007/978-3-642-37207-0_12",
  abstract =     "For many real-world problems, there exist
                 non-deterministic heuristics which generate valid but
                 possibly sub-optimal solutions. The program
                 optimisation with dependency injection method,
                 introduced here, allows such a heuristic to be placed
                 under evolutionary control, allowing search for the
                 optimum. Essentially, the heuristic is 'fooled' into
                 using a genome, supplied by a genetic algorithm, in
                 place of the output of its random number generator. The
                 method is demonstrated with generative heuristics in
                 the domains of 3D design and communications network
                 design. It is also used in novel approaches to genetic
                 programming.",
  notes =        "Part of \cite{Krawiec:2013:GP} EuroGP'2013 held in
                 conjunction with EvoCOP2013, EvoBIO2013, EvoMusArt2013
                 and EvoApplications2013",
}

Genetic Programming entries for James McDermott Paula Carroll

Citations