Biomorpher: interactive evolution for parametric design

Harding, J. ORCID: https://orcid.org/0000-0002-5253-5862 and Brandt-Olsen, C. (2018) Biomorpher: interactive evolution for parametric design. International Journal of Architectural Computing, 16 (2). pp. 144-163. ISSN 2048-3988 doi: 10.1177/1478077118778579

Abstract/Summary

Combining graph-based parametric design with metaheuristic solvers has to date focussed solely on performance based criteria and solving clearly defined objectives. In this paper, we outline a new method for combining a parametric modelling environment with an interactive Cluster-Orientated Genetic Algorithm (COGA). In addition to performance criteria, evolutionary design exploration can be guided through choice alone, with user motivation that cannot be easily defined. As well as numeric parameters forming a genotype, the evolution of whole parametric definitions is discussed through the use of genetic programming. Visualisation techniques that enable mixing small populations for interactive evolution with large populations for performance-based optimisation are discussed, with examples from both academia and industry showing a wide range of applications.

Item Type	Article
URI	https://centaur.reading.ac.uk/id/eprint/79580
Identification Number/DOI	10.1177/1478077118778579
Refereed	Yes
Divisions	Science > School of the Built Environment > Architecture Science > School of the Built Environment > Urban Living group
Publisher	Sage
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