GENR8 - A Design Tool for Surface Generation

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

@MastersThesis{hemberg:2001:masters,
  author =       "Martin Hemberg",
  title =        "GENR8 - A Design Tool for Surface Generation",
  school =       "Department of Physical Resource Theory",
  year =         "2001",
  address =      "Chalmers University, Sweden",
  month =        jun # " 29",
  keywords =     "genetic algorithms, genetic programming, lindenmayer
                 system, development, grammatical evolution",
  URL =          "http://www.ai.mit.edu/projects/emergentDesign/genr8/main.pdf",
  size =         "90 pages",
  abstract =     "GENR8 is an architect's design tool that generates
                 surfaces. It is powerful and innovative because it
                 fuses expressively powerful universes of growth
                 languages with evolutionary search. Unlike traditional
                 CAD-tools, GENR8 can create new designs and help the
                 user to come up with new ideas.

                 Developed via the API of AliasjWavefront's Maya, it
                 combines 3D map L-systems, that are extended to an
                 abstract physical environment with evolutionary
                 computation. GENR8 uses Grammatical Evolution and a BNF
                 of the grammar to specify the grammar that governs the
                 growth. GENR8 addresses key issues arising from
                 exploiting evolutionary adaption within a creative
                 interactive tool framework. EAs typically adapt
                 `off-line' but GENR8 is designed to sensitively
                 accommodate the nature of the back and forth control
                 exchange between user and tool during on-line
                 evolutionary adaptation.

                 GENR8 addresses how users may interrupt, intervene and
                 then resume an EA tool. It also forgoes interactive
                 subjective design evaluation for computationalized
                 multi-criteria evaluation that permits wider search in
                 shorter time spans.",
  notes =        "Master of Science Engineering Physics",
}

Genetic Programming entries for Martin Hemberg

Citations