Exploring Three-dimensional design worlds using Lindenmeyer Systems and Genetic Programming

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

  author =       "T. Broughton and Paul S. Coates and Helen Jackson",
  title =        "Exploring Three-dimensional design worlds using
                 Lindenmeyer Systems and Genetic Programming",
  booktitle =    "Evolutionary Design Using Computers",
  publisher =    "Academic press",
  year =         "1999",
  editor =       "Peter Bentley",
  chapter =      "14",
  pages =        "323--341",
  address =      "London, UK",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-12-089070-4",
  URL =          "http://www.cs.ucl.ac.uk/staff/P.Bentley/evdes.html",
  URL =          "http://hdl.handle.net/10552/856",
  abstract =     "The raw Lindenmeyer-system (L-system) generates random
                 branching structures in the isospatial grid. Using a
                 three dimensional L-system, early experiments (reported
                 CAAD Futures 97, \cite{coates:1997:GPx3dw} ) showed
                 that globally defined useful form (the flytrap) can
                 evolve quite quickly using one fitness function This
                 paper will describe further experiments undertaken
                 using an improved L-system and multigoal evolution to
                 evolve space/enclosure systems that satisfy both the
                 requirements of space use and those of enclosure. This
                 is implemented as symbiotic coevolution between: 1)
                 L-system branching tree system whose goal is to
                 surround the largest volume of empty space (defined as
                 space which is 'invisible' to an outside observer). 2)
                 Circulation system using walking three dimensional
                 turtles to measure the spatial property of the enclosed
                 space. The resulting enclosure phenotypes can be
                 realised using the occupied isospatial grid points as
                 nodes of a nurbs surface.

                 The chapter covers:

                 1.0 Introduction to Genetic Programming, L-Systems and
                 the Isospatial Grid

                 2.0 Three dimensional L-systems, production rules and

                 3.0 Evolutionary Experiments in Simple Environments

                 4.0 Symbiotic Coevolution",
  notes =        "


Genetic Programming entries for T Broughton Paul S Coates Helen Jackson