#galapagos

In large-scale projects, calculating tiling layouts for wall, floor, and ceiling surfaces becomes even more critical. Evolutionary optimization of these tilings seemed to be a viable approach yesterday. Considering how time-consuming and labor-intensive this process can be, I tried using Galapagos, an old but often overlooked feature in Grasshopper, which might be particularly useful in this situation. Galapagos provides an alternative interface for evolutionary optimization within Grasshopper. It works by minimizing or maximizing a fitness value you define, using parameters…

After the starting point of the Galapagos, there came another attempt to utilize this beautiful addition of David Rutten. This time, I worked over the night to tell it what I want. The aim was (or seemed to be) simple at first sight. I wanted several shapes (not one) to fit into an area, as smallest as possible, without overlaps. This is packing objects. A bounding box and area components quickly gave me the first fitness value. The area of the…

Galapagos was a great improvement when it became available natively within Grasshopper as an Evolutionary Solver. However, I couldn’t find time to examine it until recently. This examination gave me an idea of algorithmic thinking, tool making, and tool using. The first experiment shown below tries to solve equilateral triangulation, based on the Delaunay method. Galapagos has two different solvers, named “simulated annealing solver” and “evolutionary solver” shown respectively below. Both of them are trying to reach a fitness value…