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Biomorpher: interactive evolution for parametric design

Harding, J. and Brandt-Olsen, C. (2018) Biomorpher: interactive evolution for parametric design. International Journal of Architectural Computing, 16 (2). pp. 144-163. ISSN 2048-3988

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To link to this item 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
Refereed:Yes
Divisions:Faculty of Science > School of the Built Environment > Architecture
ID Code:79580
Publisher:Sage

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