- author = "Ruwan A. Fernando",
- title = "Representations for Evolutionary Design Modelling",
- school = "Queensland University of Technology",
- year = "2014",
- address = "Australia",
- month = "7 " # mar,
- keywords = "genetic algorithms, genetic programming, Evolutionary Design, Computer Aided Design, Spatial Planning, Generative Design, Evolutionary Architecture",
-
URL = "
http://eprints.qut.edu.au/68252/",
-
URL = "
http://eprints.qut.edu.au/68252/1/Ruwan_Fernando_Thesis.pdf",
- size = "231 pages",
- abstract = "Evolutionary design modelling is a form of generative design, where processes inspired by biological evolution are used to produce populations of solutions to design problems. An important element within this strategy, is how genes are abstracted and used to represent solutions to the design problem. The basis of this thesis, is that developing this area (the representation of genes) is a good way to further the field of evolutionary design modelling. Representations used in the study of language grammars, computer algorithms and dynamic systems are examined with their potential for structuring the genetic code. The aim of this is to create find representations that are stable after genetic operations, expressive enough to represent design problems and have enough granularity that novel solutions emerge from these simulations.",
-
notes = "Koza mentioned p136.
Supervisors John Frazer, Robin Drogemulle, and Keith Duddy",
