Learning about Parametric Model Behavior through Multi-Objective Optimization

Learning about Parametric Model Behavior through Multi-Objective Optimization

Mueller, Volker

Artigo Completo:

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 tradeoffs 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.

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 tradeoffs 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.

Palavras-chave:

DOI: 10.5151/despro-sigradi2015-80328

Referências bibliográficas

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Como citar:

Mueller, Volker; "Learning about Parametric Model Behavior through Multi-Objective Optimization", p-405-413. In: . São Paulo: Blucher, 2015.
ISSN 23186968, DOI 10.5151/despro-sigradi2015-80328