Quantifying diversity in computational designResearch, 2015 - Present
To be useful for architects searching for creative, expressive forms, multi-objective optimization tools must generate a diverse range of design solutions. This gives the designer flexibility to choose from a number of high-performing designs based on aesthetic preferences or specific performance priorities. However, there is no single established method for measuring diversity, and no explicit understanding of how greater optimization output diversity leads to better architectural outcomes. This research project explores different metrics for quantifying diversity and tests how users interact with design processes that employ various diversity measurements.