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id sigradi2015_8.328
authors Mueller, Volker
year 2015
title Learning about Parametric Model Behavior through Multi-Objective Optimization
source SIGRADI 2015 [Proceedings of the 19th Conference of the Iberoamerican Society of Digital Graphics - vol. 1 - ISBN: 978-85-8039-135-0] Florianópolis, SC, Brasil 23-27 November 2015, pp. 405-413.
summary This paper reports about a design process as a case study illustrating different levels of learning that seem required for successful computational design. The learning process occurred during a two-day workshop about parametric design with integrated analysis and multi-objective optimization. First, the design team needs to understand the behavior of the model in order to validate that the model behaves in a way that actually conforms with the project goals; second, the design team needs to learn about potential trade- offs between different project goals, and thus understand the decisions that need to be made, or the additional problems that need to be solved in order to arrive at a better design solution.
keywords Simulation and Modeling, Generative Systems, Parametric Design Multi-objective Optimization, Computational Design Learning
series SIGRADI
full text file.pdf (2,716,286 bytes)
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