How does Design Exploration work?
Let s say that instead of minimizing or maximizing one goal like an optimization, you re trying to minimize two goals simultaneously. Furthermore, your design has three dimensions that can change and ten intervals for each dimension. For that scenario, the total number of design iterations is 100. If you add one more dimension, the number of possible design variations increases exponentially and you suddenly have 1,000. In exploring design options, the difficulty becomes finding 100 designs equally spaced out in 1,000 or even 1,000,000 possibilities. Design Exploration gives you functional feedback for the range of options you are considering and helps you find the best design.