Automatic evolution of conceptual building architectures

Author

Coia, Corrado ; Ross, Brian J.

Author_Institution

Dept. of Comput. Sci., Brock Univ., St. Catharines, ON, Canada

fYear

2011

fDate

5-8 June 2011

Firstpage

1140

Lastpage

1147

Abstract

An evolutionary approach to the automatic generation of 3D building topologies is presented. Genetic programming is used to evolve shape grammars. When interpreted, the shape grammars generate 3D models of buildings. Fitness evaluation considers user-specified criteria that evaluate different aspects of the model geometry. Such criteria might include maximizing the number of unique normals, satisfying target height requirements, and conforming to supplied shape contours. Multi-objective evaluation is used to analyze and rank model fitness, based on the varied user-supplied criteria. A number of interesting models complying to given geometric specifications have been successfully evolved with the approach. A motivation for this research application is that it can be used as a generator of conceptual designs, to be used as inspirations for refinement or further exploration.

Keywords

building; genetic algorithms; shapes (structures); solid modelling; structural engineering computing; 3D building model; automatic 3D building topologies generation; automatic shape grammar; conceptual building architecture; genetic programming; geometric specification; model geometry; target height requirement; user supplied criteria; Buildings; Genetic programming; Grammar; Production; Shape; Solid modeling; Three dimensional displays;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation (CEC), 2011 IEEE Congress on

Conference_Location

New Orleans, LA

ISSN

Pending

Print_ISBN

978-1-4244-7834-7

Type

conf

DOI

10.1109/CEC.2011.5949745

Filename

5949745