Introduction to Optimization

Material Includes

  • Over two hours of on-demand video
  • Downloadable demo files to follow along with video tutorials

Requirements

Description

This session introduces the theory of optimization and demonstrates how it can be used to automate performance-driven design workflows. Participants will gain an intuitive understanding of several foundational optimization algorithms including Gradient Descent, Simulated Annealing, and the Genetic Algorithm. They will also get a hands-on introduction to Discover, an open-source optimization framework designed for Grasshopper.