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_id ijac201816201
id ijac201816201
authors Harding, John and Cecilie Brandt-Olsen
year 2018
title Biomorpher: Interactive evolution for parametric design
source International Journal of Architectural Computing vol. 16 - no. 2, 144-163
summary 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.
keywords Design exploration, genetic programming, human–computer interaction, interactive genetic algorithms, k-means clustering, parametric design
series journal
email john3.harding@uwe.ac.uk
last changed 2019/08/07 12:03

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