Metaheuristic design pattern

Shackelford, M.; Simons, Chris

doi:10.1145/2598394.2609849

Cited by 4 publications

(1 citation statement)

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“…Techniques that represent high-dimensional data in a comprehensible manner ideally allow a designer to get a concise overview of the essence of all the possible options without suffering from evaluation fatigue. 48 Thus, it can be argued that through the recent developments in the field of ML, human designers can interact with an extensive set of possible options at a time. Examples of such a human-machine interaction can be found in the tool Biomorpher, developed by Harding and Brandt-Olsen, 29 in the work of Menges, 13 and the early work of Coates et al 49 In the proposed design framework, the designer selects families of design options directly from the generated SOM through an interactive user interface.…”

Section: Qualitative Evaluation and Selectionmentioning

confidence: 99%

Beyond typologies, beyond optimization: Exploring novel structural forms at the interface of human and machine intelligence

Ochoa

Ohlbrock

D’Acunto

et al. 2020

International Journal of Architectural Computing

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This article presents a computer-aided design framework for the generation of non-standard structural forms in static equilibrium that takes advantage of the interaction between human and machine intelligence. The design framework relies on the implementation of a series of operations (generation, clustering, evaluation, selection, and regeneration) that allow to create multiple design options and to navigate in the design space according to objective and subjective criteria defined by the human designer. Through the interaction between human and machine intelligence, the machine can learn the nonlinear correlation between the design inputs and the design outputs preferred by the human designer and generate new options by itself. In addition, the machine can provide insights into the structural performance of the generated structural forms. Within the proposed framework, three main algorithms are used: Combinatorial Equilibrium Modeling for generating of structural forms in static equilibrium as design options, Self-Organizing Map for clustering the generated design options, and Gradient-Boosted Trees for classifying the design options. These algorithms are combined with the ability of human designers to evaluate non-quantifiable aspects of the design. To test the proposed framework in a real-world design scenario, the design of a stadium roof is presented as a case study.

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Section: Qualitative Evaluation and Selectionmentioning

confidence: 99%