Genetic Optimization - Material Distribution and Topological Optimization

The project explores topological optimization and material distribution on freeform meshes using Galapagos and Millipede. The aim is to produce any type of freeform mesh and through evolutionary solvers achieve the optimum material distribution which will result in the use of the least possible material to achieve the surface.

The pseudocode above describes the process which can be broken down into steps:
Generate a freeform mesh based on a gene pool and sine curve
Evaluate the equivalent surface to acquire the corner points and consequently locate the closest points on the mesh
Fix these as support points and define the material (in this case concrete)
Run Millipede Solver to acquire deflection value
Run Galapagos Evolutionary Simulation defining the deflection on the mesh as fitness value and the gene pool for the mesh generation as the genome
Acquire optimized mesh
Define a series of points equal to the number of the required supports on the mesh
Replace the corner points with the newly acquired points as supports
Run Galapagos defining the deflection as fitness value and the gene pool for the support points as the genome
Acquire optimized support points along with deflection value
Through Millipede mesh visualization acquire the mesh with varied thickness
Increase the steps of the Millipede solver for a higher resolution mesh