The research integrates a wide range of methodologies—spanning Artificial Intelligence and Parametric Modelling—to solve complex problems in energy consumption and spatial design
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...