The research integrates a wide range of methodologies—spanning Artificial Intelligence and Parametric Modelling—to solve complex problems in energy consumption and spatial design
An Innsbruck-based museum contacted us to optimize the distribution of 3,299 paintings in their new storage facilities located outside the city. The storage space consists of an array of double-sided, movable metal grid walls. The museum seeks to optimize the arrangement of paintings on the walls to...
One of the main problems in the AEC industry is HVAC consumption in buildings. The reasons for reducing energy consumption vary. There are clear economic reasons, as a good energy consumption strategy could lead to reduced energy costs and impact financial savings for consumers. Reducing energy use...
Genetic algorithms perform highly efficiently when all the parameters are connected, and it is not possible to maximize one value without affecting the others. For this experiment, a GA is used as a design exploration tool. A binary list 1,0,1,0,0,0,1 represents a series of cubes stacked together...
This experiment uses generative components as a parametric modeling software and Microsoft Excel to evaluate and optimize a steel truss. The objective consists in reducing the total steel weight in the truss.
The problem is simple. It is necessary to modify the position of some truss joints (nodes...