Integrating generative growth and evolutionary computation for form exploration

Created by W.Langdon from gp-bibliography.bib Revision:1.2305

@Article{OReilly:2007:GPEM,
  author =       "Una-May O'Reilly and Martin Hemberg",
  title =        "Integrating generative growth and evolutionary
                 computation for form exploration",
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2007",
  volume =       "8",
  number =       "2",
  pages =        "163--186",
  month =        jun,
  note =         "Special issue on developmental systems",
  keywords =     "genetic algorithms, genetic programming, Grammatical
                 evolution, Genr8, L-system, BNF, HEMLS",
  ISSN =         "1389-2576",
  doi =          "doi:10.1007/s10710-007-9025-y",
  size =         "24 pages",
  abstract =     "We present an algorithmic growth process that is an
                 extension of Lindenmayer Map L-systems. This growth
                 process relies upon a set of rewrite rules, a map axiom
                 and a geometric interpreter which is integrated with a
                 3D simulated environment. The outcome of the growth
                 process is a digital surface in 3D space which has
                 grown within and in response to its environment. We
                 have developed a complementary evolutionary algorithm
                 that is able to take over the task of generating the
                 rewrite rules set for a growth process. Using a
                 quantitative multiobjective fitness function that
                 evaluates a variety of surface properties, the
                 integrated system (evolutionary algorithm and growth
                 process) can explore and generate diverse and
                 interesting surfaces with a resemblance of organic
                 form. The algorithms have been implemented to create a
                 design tool for architects called Genr8.",
}

Genetic Programming entries for Una-May O'Reilly Martin Hemberg