Publication
Title
Shaper-GA : automatic shape generation for modular house design
Author
Abstract
This work presents a Genetic Algorithm (GA) approach to produce automatic designs for modular houses: Shaper-GA. A set of architectural design rules defining a language of design is incorporated into the GA fitness function. When possible genetic drift or local convergence might be occurring, the method starts an adaptive mutation rate to overcome fitness stagnation. The GA tool efficiently produces several layout solutions obeying the design rules and further placement constraints. Such a tool can be integrated into an appropriate user interface allowing future house owners to customize their own house or construction companies to answer client's' requirements while complying with a language of design.
Language
English
Source (book)
Proceedings of the Genetic and Evolutionary Computation Conference
Publication
Association for Computing Machinery , 2018
ISBN
978-1-4503-5618-3
DOI
10.1145/3205455.3205609
Volume/pages
p. 937-942
ISI
000579327800122
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Publication type
Subject
External links
Web of Science
Record
Identifier
Creation 11.10.2023
Last edited 20.01.2024
To cite this reference