ThinkParametric added a new new online tutorial to their Foundation Training Courses: Views Optimization Using Galapagos for Grasshopper. This course will focus on creating your own optimization tools inside Grasshopper using Galapagos, optimizing building shapes according to their views.
This course is a continuation of the Galapagos 101 course and a more hands-on case study.
By mastering Galapagos and understanding the power of an evolutionary solver, you can make smarter and better informed decisions early in the design process.
Galapagos uses an evolutionary-based algorithmic solver. In evolutionary models, a population of candidate solutions is maintained, and new candidate solutions are generated randomly by mutating or recombining variants in the existing population. Periodically, the population is pruned by applying a selection criterion (a fitness function). Only the better candidates survive into the next generation. Iterated over many generations, the average quality of the solutions in the candidate pool gradually increases.