What if we could “breed” buildings to be more efficient? Artist, designer, and programmer Joel Simon is writing programs to find out.
By Drew Zeiba
What if we could “breed” buildings to be more efficient? That’s the provocation by artist, designer, and programmer Joel Simon, who was inspired by the potentials of 3D printing and other emergent digital manufacturing technologies, as well as his background in computer science and biology, to test a system of automated planning.
With a series of algorithms of two types—“graph-contraction and ant-colony pathing”—Simon is able to “evolve” optimized floor plans based off different constraints, using a genetic method derived from existing neural network techniques. The results are, according to a white paper he put out, “biological in appearance, intriguing in character, and wildly irrational in practice.”
The example he gives is based off an elementary school in Maine. Most schools are long corridors with classrooms coming off the sides, a highly linear design. By attempting to set different parameters, like minimizing traffic flow and material usage, or making the building easier to exit in the event of an emergency, the algorithms output different floor plans, developed on a genetic logic.
Read on HERE >>>> Source: ArchPaper Joel Simon, designer and programmer, optimizes floorplans