Biomorpher: Interactive evolution for parametric design. (June 2018)

• Record Type: Journal Article
• Authors: Harding, John; Brandt-Olsen, Cecilie
• Is Part Of: International journal of architectural computing. Volume 16:Number 2(2018)
• Page Start: 144
• Page End: 163
• Publication Date: 2018-06
• Subjects: Design exploration -- genetic programming -- human–computer interaction -- interactive genetic algorithms -- k-means clustering -- parametric design; Architecture -- Data processing -- Periodicals; Architecture -- Informatique -- Périodiques; Virtual reality in architecture -- Periodicals; Computer-aided design -- Periodicals; Architecture -- Data processing; Periodicals; 720.2840285536
• DOI: 10.1177/1478077118778579
• Languages: English
• ISSNs: 1478-0771

Abstract

Combining graph-based parametric design with metaheuristic solvers has to date focused solely on performance-based criteria and solving clearly defined objectives. In this article, we outline a new method for combining a parametric modelling environment with an interactive Cluster-Orientated Genetic Algorithm. 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.