Optimising complex pylon structures with grammatical evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{Byrne:2014:IS,
  author =       "Jonathan Byrne and Michael Fenton and Erik Hemberg and 
                 James McDermott and Michael O'Neill",
  title =        "Optimising complex pylon structures with grammatical
                 evolution",
  journal =      "Information Sciences",
  year =         "2014",
  volume =       "316",
  pages =        "582--597",
  month =        sep,
  ISSN =         "0020-0255",
  DOI =          "doi:10.1016/j.ins.2014.03.010",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0020025514002904",
  keywords =     "genetic algorithms, genetic programming, grammatical
                 evolution, Structural optimisation, Architecture,
                 Grammar",
  abstract =     "Evolutionary algorithms have proved their ability to
                 optimise architectural designs but are limited by their
                 representation, i.e., the structures that the algorithm
                 is capable of generating. The representation is
                 normally constrained to small structures, or parts of a
                 larger structure, to prevent a preponderance of invalid
                 designs. This work uses a grammar based representation
                 to generate large scale pylon designs. It removes
                 invalid designs from the search space, but still allows
                 complex and large scale constructions. In order to show
                 the suitability of this method to real world design
                 problems, we apply it to the Royal Institute of British
                 Architects pylon design competition. This work shows
                 that a combination of a grammar representation with
                 real world constraints is capable of exploring
                 different design configurations while evolving viable
                 and optimised designs.",
  notes =        "Also known as \cite{byrne:ocpswge:2014}",
}

Genetic Programming entries for Jonathan Byrne Michael Fenton Erik Hemberg James McDermott Michael O'Neill

Citations